CN103544351A - Method and device for adjusting parameters of simulation model - Google Patents
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- CN103544351A CN103544351A CN201310511693.6A CN201310511693A CN103544351A CN 103544351 A CN103544351 A CN 103544351A CN 201310511693 A CN201310511693 A CN 201310511693A CN 103544351 A CN103544351 A CN 103544351A
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Abstract
The invention discloses a method and a device for adjusting parameters of a simulation model, and relates to the technical field of transportation simulation. The method includes determining a value of at least one parameter according to the acquired at least one parameter and a value range thereof; running a simulation program corresponding to the simulation model according to the parameters and the values thereof, and acquiring a simulation result including simulation data; calculating a similarity value of the simulation data and real data according to the simulation data in the simulation result and the real data; when the similarity value is larger than or equal to a preset threshold, determining a simulation model target parameter set as a first parameter and a value corresponding to the first parameter. The method and the device are suitable for regulating the parameters of the simulation model, the parameters of the simulation model can be adjusted adaptively, time for acquiring reasonable parameters of the simulation model is short, and efficiency is improved.
Description
Technical field
The present invention relates to traffic simulation technical field, relate in particular to a kind of method and device of realistic model being adjusted to parameter.
Background technology
Realistic model refers to the tactics phenomenon of all care is decomposed into a series of basic activities and event, and by the logical relation of movable and event, they combined.Realistic model is homologue or its version of simulated object.Traffic Flow Simulation Models has realized by software program and has simulated current or prediction traffic in the future.Because driving behavior, vehicle attribute and the signal lamp steering logic of country variant, different regions or different cities there are differences, therefore at an applicable traffic model in area, in another area, but can not simulate well local transit situation, therefore need to the specific parameter adjustment of carrying out necessary realistic model according to local traffic, i.e. tune ginseng.In prior art, by the system specification of Traffic Flow Simulation Models, understand meaning and the impact of each parameter, based on adjusting ginseng personnel adjust the experience of ginseng and carry out parameter adjustment for the understanding of local transit feature for this Traffic Flow Simulation Models.The general process of joining of adjusting is an iterative process of attempting and adjusting, adjust ginseng personnel to test successively one group or a parameter, then move realistic model and observe simulation result, then adjust other parameters by result, until obtain, adjust ginseng personnel to think rational model parameter.
Yet, while adopting prior art to adjust ginseng to Traffic Flow Simulation Models, needing manual operation, efficiency is lower, and the time that causes obtaining rational simulation parameters is longer.
Summary of the invention
Embodiments of the invention provide a kind of method and device of realistic model being adjusted to parameter, can adjust adaptively simulation parameters, and the time of obtaining rational simulation parameters is shorter, raises the efficiency.
First aspect, the embodiment of the present invention provides a kind of method of realistic model being adjusted to parameter, comprising:
According at least one parameter obtaining and the span of described at least one parameter, determine the value of described at least one parameter;
According to the value of described at least one parameter and described at least one parameter, simulated program corresponding to operation realistic model, obtain simulation result, described simulation result comprises emulated data, described emulated data comprises the first parameter set and value corresponding to described the first parameter set, and described the first parameter set is whole parameters or the partial parameters in described at least one parameter;
According to described emulated data and the True Data in described simulation result, calculate the similarity value of described emulated data and described True Data;
When described similarity value is more than or equal to predetermined threshold value, determine that realistic model target component group is described the first parameter and value corresponding to described the first parameter.
Second aspect, the embodiment of the present invention provides a kind of device of realistic model being adjusted to parameter, comprising:
The first determining unit, for according at least one parameter obtaining and the span of described at least one parameter, determines the value of described at least one parameter;
Running unit, be used for according to the value of described at least one parameter and described at least one parameter, simulated program corresponding to operation realistic model, obtain simulation result, described simulation result comprises emulated data, described emulated data comprises the first parameter set and value corresponding to described the first parameter set, and described the first parameter set is whole parameters or the partial parameters in described at least one parameter;
The first computing unit, for according to described emulated data and the True Data of described simulation result, calculates the similarity value of described emulated data and described True Data;
The second determining unit, for when described similarity value is more than or equal to predetermined threshold value, determines that realistic model target component group is described the first parameter and value corresponding to described the first parameter.
The embodiment of the present invention provides a kind of method and device of realistic model being adjusted to parameter, by according to the value of parameter and parameter, the simulated program that circular flow realistic model is corresponding, obtain simulation result, described simulation result comprises emulated data, according to described emulated data and the True Data in described simulation result, calculate the similarity value of described emulated data and described True Data, then sentence when described similarity value is more than or equal to predetermined threshold value, determine that realistic model target component group is described the first parameter and value corresponding to described the first parameter, when Traffic Flow Simulation Models being adjusted to ginseng in prior art, need manual operation, efficiency is lower, cause the time of obtaining rational simulation parameters compared with appearance ratio, the embodiment of the present invention can be adjusted simulation parameters adaptively, the time that obtains rational realistic model target component group is shorter, raise the efficiency.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skills, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.
A kind of process flow diagram of realistic model being adjusted to the method for parameter that Fig. 1 provides for one embodiment of the invention;
A kind of process flow diagram of realistic model being adjusted to the method for parameter that Fig. 2 provides for another embodiment of the present invention;
A kind of block diagram of realistic model being adjusted to the device of parameter that Fig. 3 provides for one embodiment of the invention;
A kind of block diagram of realistic model being adjusted to the device of parameter that Fig. 4 provides for another embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, rather than whole embodiment.Embodiment based in the present invention, those of ordinary skills, not making the every other embodiment obtaining under creative work prerequisite, belong to the scope of protection of the invention.
The embodiment of the present invention provides a kind of method of realistic model being adjusted to parameter, and the executive agent of the method can be terminal or server, and as shown in Figure 1, the method comprises:
Optionally, before this step, receive and adjust at least one parameter of ginseng personnel input and the span of described at least one parameter.
Optionally, described at least one parameter comprises call parameter and unnecessary parameter, or described at least one parameter comprises call parameter, described unnecessary parameter is the impact that described realistic model do not impacted or described realistic model the is caused parameter in threshold range, and described call parameter is greater than the parameter of described threshold range for the impact that described realistic model is caused.Adjust ginseng personnel by analysis, to obtain call parameter according to the parameter in the system specification of realistic model, if while certainly adjusting ginseng personnel there is no correlation experience, can determine that all parameters are the parameter of wish assessment.For example, when realistic model is Traffic Flow Simulation Models, parameter can be car speed, flow, safe distance etc. call parameter, for the parameter of personnel's flow etc., is unnecessary parameter.
Optionally, after parameter is selected, adjust ginseng personnel to determine again the span of each parameter.Span is at this programme also flexible space, adjust ginseng personnel to understand when many parameter of realistic model, can be according to the system specification of realistic model or rule of thumb determine the span of parameter, when the parameter of realistic model is not known much have less understanding, in the time of cannot accurately selecting the span of parameter, can select larger fuzzy parameter area, this exchanges ginseng result also without impact.For example, the span of car speed can for 0-120 a thousand li/hour, the span of flow can be 0-500pcu/h/ln, wherein, pcu represents standard vehicle equivalents, h represents hour, ln represents track, safe distance span can be 0-3 rice.
According to adjusting at least one parameter of ginseng personnel input and the span of at least one parameter, can draw the configuring matrix of a system model parameter, its structure is as follows:
Optionally, this step comprises:
According at least one parameter receiving and the span of at least one parameter, in span corresponding to the second parameter, choose at random a value as the value of described the second parameter, described the second parameter is the arbitrary parameter in described at least one parameter; Or,
According to calculating the parameter of described Pre-Evaluation and the span of at least one parameter obtaining, and to take the value of the first parameter of choosing last time be foundation, in the span of described the first parameter, near the value of described the first parameter, choose at random a value as the new value of described the first parameter.
Realistic model refers to a kind of simulation and reproduces the technology of real conditions, comprises mathematical model and presentation device.Real conditions can be true traffic, biological motion or upgrowth situation etc.
This step is according to the value of described at least one parameter and described at least one parameter, simulated program corresponding to operation realistic model, obtain simulation result, it is also understood that in realistic model by least one parameter modification for its corresponding value, then move simulated program, Output simulation result.For example, car speed adopts q to represent, the value of definite car speed be 60 a thousand lis/hour, the q in realistic model can be revised as to 60, other parameters are corresponding revise after, can move simulated program.
Optionally, the formal output that simulation result can file.
Optionally, first according to existing real scene, carry out choosing of data, for example, for true traffic scene, choose data.Then according to emulated data and the corresponding True Data chosen, calculate similarity value.
Optionally, according to
Calculate the similarity value of described emulated data and described True Data, wherein, described e represents similarity value, described q', v', x' represent respectively different values corresponding to different parameters in described True Data, described q, v, x represent respectively the different values of the parameter corresponding from described True Data in described emulated data, described r
1, r
2, r
mfor balance factor, r
1+ r
2+ ... + r
m=1, described m represents the quantity of balance factor, described n
1, n
2, n
mthe quantity that represents respectively the value of q, v, x.
Optionally, predetermined threshold value is the minimum value of the similarity value that rule of thumb arranges, and, when calculating the similarity value obtaining and be less than predetermined threshold value, this time parameter and value corresponding to parameter of acquisition are not most suitable parameter group, need to proceed computing.
The embodiment of the present invention provides a kind of method of realistic model being adjusted to parameter, at least one parameter receiving by basis and the span of described at least one parameter, the value of at least one parameter described in determining; According to the value of described at least one parameter and described at least one parameter, simulated program corresponding to operation realistic model, obtain simulation result, described simulation result comprises emulated data, according to described emulated data and the True Data in described simulation result, calculate the similarity value of described emulated data and described True Data; When described similarity value is more than or equal to predetermined threshold value, determine that realistic model target component group is described the first parameter and value corresponding to described the first parameter.Therefore the embodiment of the present invention can be adjusted simulation parameters adaptively, and the time that obtains rational realistic model target component group is shorter, raises the efficiency.
The embodiment of the present invention provides the another kind of method of realistic model being adjusted to parameter, and as shown in Figure 2, the method comprises:
Step 201, receives at least one parameter and span corresponding at least one parameter of adjusting ginseng personnel input.
Optionally, described at least one parameter comprises call parameter and unnecessary parameter, or described at least one parameter comprises call parameter, described unnecessary parameter is the impact that described realistic model do not impacted or described realistic model the is caused parameter in threshold range, and described call parameter is greater than the parameter of described threshold range for the impact that described realistic model is caused.Adjust ginseng personnel by analysis, to obtain call parameter according to the parameter in the system specification of realistic model, if while certainly adjusting ginseng personnel there is no correlation experience, can determine that all parameters are the parameter of wish assessment.For example, when realistic model is Traffic Flow Simulation Models, parameter can be car speed, flow, safe distance etc. call parameter, for the parameter of personnel's flow etc., is unnecessary parameter.
Optionally, after parameter is selected, adjust ginseng personnel to determine again the span of each parameter.Span is at this programme also flexible space, adjust ginseng personnel to understand when many parameter of realistic model, can be according to the system specification of realistic model or rule of thumb determine the span of parameter, when the parameter of realistic model is not known much have less understanding, in the time of cannot accurately selecting the span of parameter, can select larger fuzzy parameter area, this exchanges ginseng result also without impact.For example, the span of car speed can for 0-120 a thousand li/hour, the span of flow can be 0-500pcu/h/ln, wherein, pcu represents standard vehicle equivalents, h represents hour, ln represents track, safe distance span can be 0-3 rice.
According to adjusting at least one parameter of ginseng personnel input and the span of at least one parameter, can draw the configuring matrix of a system model parameter, its structure is as follows:
For example, the span of this parameter of car speed be 0-120 a thousand li/hour, now terminal can 0-120 a thousand li/hour in random select a value, for example, select 87 a thousand lis/hour.And then according to the span of other parameters, select the value of other parameters, until select the value of all parameters.
This step is identical with step 102 in accompanying drawing 1, specifically can be referring to the description of step 102, and this is no longer going to repeat them.
According to
Calculate the similarity value of described emulated data and described True Data, wherein, described e represents similarity value, described q', v', x' represent respectively different values corresponding to different parameters in described True Data, described q, v, x represent respectively the different values of the parameter corresponding from described True Data in described emulated data, described r
1, r
2, r
mfor balance factor, r
1+ r
2+ ... + r
m=1, described m represents the quantity of balance factor, described n
1, n
2, n
mthe quantity that represents respectively the value of q, v, x.
Optionally, when described similarity value is more than or equal to predetermined threshold value, perform step 206; When described similarity value is less than predetermined threshold value, perform step 207.
Step 206, determines that realistic model target component group is described the first parameter and value corresponding to described the first parameter.
Optionally, when similarity value is more than or equal to predetermined threshold value, illustrate that the similarity degree of simulation result and real scene reaches requirement, the emulated data in the simulation result of now realistic model output is the realistic model target component group of applicable this locality.After executing this step, exit the flow process of realistic model being adjusted to parameter.
Optionally, when described similarity value is less than described predetermined threshold value, illustrate that the similarity degree of simulation result and real scene does not reach requirement, now need by building optimization method, the parameter in step 201 in the present embodiment to be adjusted.In optimization method, objective function is similarity, and adjustable parameters is parameter in realistic model, using the value of similarity value and this simulation parameters used, is that emulated data is brought in optimization method as input, calculates the parameter of next group wish assessment.
Optimization method refers in order to make system reach the various method for solving that optimum target proposes and is called optimization equation.Optimization is normally adjusted certain or thereby a plurality of variable is very big or minimization objective function.
For example, the first parameter is car speed, the value of the first parameter be 87 a thousand lis/hour, the new value of the first parameter can for 85 a thousand lis/hour, or 89 a thousand lis/hour etc.
Optionally, after selecting the parameter of described Pre-Evaluation and the new value of correspondence, simulated program corresponding to operation realistic model, obtain simulation result, and carry out and follow-up according to the emulated data in simulation result and True Data, calculate the similarity value of emulated data and True Data, and judge whether similarity value is more than or equal to predetermined threshold value, according to judged result executable operations etc., i.e. circulation execution step 203-208, finishes until obtain realistic model target component group.
The embodiment of the present invention provides a kind of method of realistic model being adjusted to parameter, by according to the value of parameter and parameter, the simulated program that circular flow realistic model is corresponding, obtain simulation result, described simulation result comprises emulated data, according to described emulated data and the True Data in described simulation result, calculate the similarity value of described emulated data and described True Data, then judge whether described similarity value is more than or equal to predetermined threshold value and carries out corresponding operating according to judged result, until can determine that realistic model target component group finishes, therefore the embodiment of the present invention can be adjusted simulation parameters adaptively, the time that obtains rational realistic model target component group is shorter, raise the efficiency, and the embodiment of the present invention can reduce people's workload, and it is unreasonable to reduce the tune ginseng causing due to human factor, be because the ginseng of the people having the same aspiration and interest not personnel there are differences for the understanding of local transit feature in prior art, make to adjust ginseng result according to adjusting ginseng personnel, regularly easily to cause that tune ginseng is unreasonable.
The embodiment of the present invention provides a kind of device of realistic model being adjusted to parameter, and as shown in Figure 3, this device comprises: the first determining unit 301, running unit 302, the first computing unit 303, the second determining units 304;
The first determining unit 301, for according at least one parameter obtaining and the span of described at least one parameter, determines the value of described at least one parameter;
Described at least one parameter comprises call parameter and unnecessary parameter, or described at least one parameter comprises call parameter, described unnecessary parameter is the impact that described realistic model do not impacted or described realistic model the is caused parameter in threshold range, and described call parameter is greater than the parameter of described threshold range for the impact that described realistic model is caused.
Running unit 302, be used for according to the value of described at least one parameter and described at least one parameter, simulated program corresponding to operation realistic model, obtain simulation result, described simulation result comprises emulated data, described emulated data comprises the first parameter set and value corresponding to described the first parameter set, and described the first parameter set is whole parameters or the partial parameters in described at least one parameter;
The first computing unit 303, for according to described emulated data and the True Data of described simulation result, calculates the similarity value of described emulated data and described True Data;
The second determining unit 304, for when described similarity value is more than or equal to predetermined threshold value, determines that realistic model target component group is described the first parameter and value corresponding to described the first parameter.
Optionally, when similarity value is more than or equal to predetermined threshold value, illustrate that the similarity degree of simulation result and real scene reaches requirement, the emulated data in the simulation result of now realistic model output is the realistic model target component group of applicable this locality.
Further alternative, described the first computing unit 303, for:
According to
Calculate the similarity value of described emulated data and described True Data, wherein, described e represents similarity value, described q', v', x' represent respectively different values corresponding to different parameters in described True Data, described q, v, x represent respectively the different values of the parameter corresponding from described True Data in described emulated data, described r
1, r
2, r
mfor balance factor, r
1+ r
2+ ... + r
m=1, described m represents the quantity of balance factor, described n
1, n
2, n
mthe quantity that represents respectively the value of q, v, x.
Further alternative, as shown in Figure 4, described device also comprises: the second computing unit 305;
When described similarity value is more than or equal to predetermined threshold value, before the definite realistic model target component group of the second determining unit 304 is value corresponding to described the first parameter and described the first parameter, judge whether described similarity value is more than or equal to described predetermined threshold value;
When described similarity value is less than described predetermined threshold value, the second computing unit 305, for according to the described emulated data of described similarity value and described simulation result, calculates the parameter that obtains next group Pre-Evaluation.
Optionally, when described similarity value is less than described predetermined threshold value, illustrate that the similarity degree of simulation result and real scene does not reach requirement, now need by building optimization method, the parameter in the simulation result obtaining to be adjusted.In optimization method, objective function is similarity, and adjustable parameters is parameter in realistic model, using the value of similarity value and this simulation parameters used, is that emulated data is brought in optimization method as input, calculates the parameter of next group wish assessment.
Optimization method refers in order to make system reach the various method for solving that optimum target proposes and is called optimization equation.Optimization is normally adjusted certain or thereby a plurality of variable is very big or minimization objective function.
Further alternative, described the first determining unit 301, for:
According at least one parameter receiving and the span of at least one parameter, in span corresponding to the second parameter, choose at random a value as the value of described the second parameter, described the second parameter is the arbitrary parameter in described at least one parameter; Or,
According to calculating the parameter of described Pre-Evaluation and the span of at least one parameter obtaining, and to take the value of the first parameter of choosing last time be foundation, in the span of described the first parameter, near the value of described the first parameter, choose at random a value as the new value of described the first parameter.
It should be noted that, in accompanying drawing 3 or accompanying drawing 4 shown devices, the specific implementation process of its modules and the contents such as information interaction between modules, due to the inventive method embodiment based on same inventive concept, can, referring to embodiment of the method, at this, not repeat one by one.
The embodiment of the present invention provides a kind of device of realistic model being adjusted to parameter, by running unit according to the value of parameter and parameter, the simulated program that circular flow realistic model is corresponding, obtain simulation result, described simulation result comprises emulated data, according to described emulated data and the True Data in described simulation result, the first computing unit calculates the similarity value of described emulated data and described True Data, then judge whether described similarity value is more than or equal to predetermined threshold value and carries out corresponding operating according to judged result, until can determine that realistic model target component group finishes, therefore the embodiment of the present invention can be adjusted simulation parameters adaptively, the time that obtains rational realistic model target component group is shorter, raise the efficiency.
It should be noted that, device embodiment described above is only schematic, the wherein said unit as separating component explanation can or can not be also physically to separate, the parts that show as unit can be or can not be also physical locations, can be positioned at a place, or also can be distributed in a plurality of network element.Can select according to the actual needs some or all of module wherein to realize the object of the present embodiment scheme.Those of ordinary skills, in the situation that not paying creative work, are appreciated that and implement.
Through the above description of the embodiments, those skilled in the art can be well understood to the mode that the present invention can add essential common hardware by software and realize, can certainly comprise that special IC, dedicated cpu, private memory, special-purpose components and parts etc. realize by specialized hardware, but in a lot of situation, the former is better embodiment.Understanding based on such, the part that technical scheme of the present invention contributes to prior art in essence in other words can embody with the form of software product, this computer software product is stored in the storage medium can read, as the floppy disk of computing machine, USB flash disk, portable hard drive, ROM (read-only memory) (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc., comprise that some instructions are with so that a computer equipment (can be personal computer, server, or the network equipment etc.) method described in each embodiment of execution the present invention.
Each embodiment in this instructions all adopts the mode of going forward one by one to describe, between each embodiment identical similar part mutually referring to, each embodiment stresses is the difference with other embodiment.Especially, for device and system embodiment, because it is substantially similar in appearance to embodiment of the method, so describe fairly simplely, relevant part is referring to the part explanation of embodiment of the method.
The above; be only the specific embodiment of the present invention, but protection scope of the present invention is not limited to this, is anyly familiar with those skilled in the art in the technical scope that the present invention discloses; can expect easily changing or replacing, within all should being encompassed in protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion by the described protection domain with claim.
Claims (10)
1. realistic model is adjusted to a method for parameter, be it is characterized in that, comprising:
According at least one parameter obtaining and the span of described at least one parameter, determine the value of described at least one parameter;
According to the value of described at least one parameter and described at least one parameter, simulated program corresponding to operation realistic model, obtain simulation result, described simulation result comprises emulated data, described emulated data comprises the first parameter set and value corresponding to described the first parameter set, and described the first parameter set is whole parameters or the partial parameters in described at least one parameter;
According to described emulated data and the True Data in described simulation result, calculate the similarity value of described emulated data and described True Data;
When described similarity value is more than or equal to predetermined threshold value, determine that realistic model target component group is described the first parameter and value corresponding to described the first parameter.
2. method according to claim 1, it is characterized in that, described at least one parameter comprises call parameter and unnecessary parameter, or described at least one parameter comprises call parameter, described unnecessary parameter is the impact that described realistic model do not impacted or described realistic model the is caused parameter in threshold range, and described call parameter is greater than the parameter of described threshold range for the impact that described realistic model is caused.
3. method according to claim 1 and 2, is characterized in that, described according to described emulated data and True Data in described simulation result, calculates the similarity value of described emulated data and described True Data, comprising:
According to
Calculate the similarity value of described emulated data and described True Data, wherein, described e represents similarity value, described q', v', x' represent respectively different values corresponding to different parameters in described True Data, described q, v, x represent respectively the different values of the parameter corresponding from described True Data in described emulated data, described r
1, r
2, r
mfor balance factor, r
1+ r
2+ ... + r
m=1, described m represents the quantity of balance factor, described n
1, n
2, n
mthe quantity that represents respectively the value of q, v, x.
4. method according to claim 1, is characterized in that, described method, also comprises:
When described similarity value is less than described predetermined threshold value, according to the described emulated data in described similarity value and described simulation result, calculate the parameter that obtains next group Pre-Evaluation.
5. method according to claim 1, is characterized in that, at least one parameter that described basis receives and the span of at least one parameter, and the value of at least one parameter described in determining, comprising:
According at least one parameter receiving and the span of at least one parameter, in span corresponding to the second parameter, choose at random a value as the value of described the second parameter, described the second parameter is the arbitrary parameter in described at least one parameter; Or,
According to calculating the parameter of described Pre-Evaluation and the span of at least one parameter obtaining, and to take the value of the first parameter of choosing last time be foundation, in the span of described the first parameter, near the value of described the first parameter, choose at random a value as the new value of described the first parameter.
6. realistic model is adjusted to a device for parameter, be it is characterized in that, comprising:
The first determining unit, for according at least one parameter obtaining and the span of described at least one parameter, determines the value of described at least one parameter;
Running unit, be used for according to the value of described at least one parameter and described at least one parameter, simulated program corresponding to operation realistic model, obtain simulation result, described simulation result comprises emulated data, described emulated data comprises the first parameter set and value corresponding to described the first parameter set, and described the first parameter set is whole parameters or the partial parameters in described at least one parameter;
The first computing unit, for according to described emulated data and the True Data of described simulation result, calculates the similarity value of described emulated data and described True Data;
The second determining unit, for when described similarity value is more than or equal to predetermined threshold value, determines that realistic model target component group is described the first parameter and value corresponding to described the first parameter.
7. device according to claim 6, it is characterized in that, described at least one parameter comprises call parameter and unnecessary parameter, or described at least one parameter comprises call parameter, described unnecessary parameter is the impact that described realistic model do not impacted or described realistic model the is caused parameter in threshold range, and described call parameter is greater than the parameter of described threshold range for the impact that described realistic model is caused.
8. according to the device described in claim 6 or 7, it is characterized in that, described the first computing unit, for:
According to
Calculate the similarity value of described emulated data and described True Data, wherein, described e represents similarity value, described q', v', x' represent respectively different values corresponding to different parameters in described True Data, described q, v, x represent respectively the different values of the parameter corresponding from described True Data in described emulated data, described r
1, r
2, r
mfor balance factor, r
1+ r
2+ ... + r
m=1, described m represents the quantity of balance factor, described n
1, n
2, n
mthe quantity that represents respectively the value of q, v, x.
9. device according to claim 6, is characterized in that, described device, also comprises:
The second computing unit, for when described similarity value is less than described predetermined threshold value, according to the described emulated data in described similarity value and described simulation result, calculates the parameter that obtains next group Pre-Evaluation.
10. device according to claim 6, is characterized in that, described the first determining unit, for:
According at least one parameter receiving and the span of at least one parameter, in span corresponding to the second parameter, choose at random a value as the value of described the second parameter, described the second parameter is the arbitrary parameter in described at least one parameter; Or,
According to calculating the parameter of described Pre-Evaluation and the span of at least one parameter obtaining, and to take the value of the first parameter of choosing last time be foundation, in the span of described the first parameter, near the value of described the first parameter, choose at random a value as the new value of described the first parameter.
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