JPH04175826A - Artificial intelligence logic combining fuzzy and neuro - Google Patents

Artificial intelligence logic combining fuzzy and neuro

Info

Publication number
JPH04175826A
JPH04175826A JP2298509A JP29850990A JPH04175826A JP H04175826 A JPH04175826 A JP H04175826A JP 2298509 A JP2298509 A JP 2298509A JP 29850990 A JP29850990 A JP 29850990A JP H04175826 A JPH04175826 A JP H04175826A
Authority
JP
Japan
Prior art keywords
artificial intelligence
neuro
computer
circuits
circuit
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
JP2298509A
Other languages
Japanese (ja)
Inventor
Hisashi Ishihara
石原 寿
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to JP2298509A priority Critical patent/JPH04175826A/en
Publication of JPH04175826A publication Critical patent/JPH04175826A/en
Pending legal-status Critical Current

Links

Landscapes

  • Devices For Executing Special Programs (AREA)

Abstract

PURPOSE:To obtain a computer provided with artificial intelligence of high grade by combining a fuzzy circuit and a neuro circuit. CONSTITUTION:An artificial intelligence computer is generated by combining the fuzzy circuit and the neuro circuit, and the neuro circuit and an operation near to human intelligence can be generated. Artificial intelligence logic which produces an artificial product or a robot with motion near to human can be realized by providing self-consideration and self-control functions. Thereby, it is possible to generate the computer provided with the artificial intelligence of high grade, and to enable it to be used in all kinds of applications, and to increase the working value of it.

Description

【発明の詳細な説明】 構成 ファジー回路とニューロ回路の組み合わせによる新しい
人工知能コンピューターを創作し、自路の制御と伝達の
工夫によって高度な今までに無いコンピューターを作り
出す発明。
[Detailed Description of the Invention] An invention to create a new artificial intelligence computer by combining structural fuzzy circuits and neurocircuits, and create a highly advanced computer that has never existed before by devising the control and transmission of its own circuits.

目的 より高度でより知能を持ったコンピューターを作り出す
事を目的とした。
The goal was to create a computer that was more advanced and more intelligent than the original.

産業上の利用分野 多方面に活躍でき、あらゆる用途に応用可能で、しかも
目覚ましい働きのある利用価値の大きなものである。
It can be used in a wide variety of industrial fields, can be applied to a wide range of applications, and has remarkable utility and value.

従来の技術 単独で使われ著しい活躍が出来なかった。Conventional technology He was used alone and could not make a significant contribution.

発明が解決しようとする課題 より高度な人工知能を持ったコンピューターを作り出す
ための技術を確立した。
Established technology to create computers with more advanced artificial intelligence than the problem the invention was intended to solve.

課題を解決するための手段 ファージー回路とニューロ回路の組み合わせによる手段
によって高度な人工知能を持ったコンピューターを出現
させた。
A method for solving the problem: A computer with advanced artificial intelligence was created by combining phagy circuits and neurocircuits.

作用 コンピューターの働きを一層高めた。action Improved the functionality of computers.

実施例 大いなる働きが確認出来るだろう。Example Great work will be confirmed.

発明の効果 反響が効果を説明するのに十分な要素となる。Effect of the invention Reaction is a sufficient factor to explain the effect.

Claims (1)

【特許請求の範囲】 発明の構成  ファジー回路とニューロ回路の組み合わせによる新し
い人工知能コンピューターを創作、回路の制御と伝達の
工夫により、相当高度なコンピューターを作り出す事を
可能にし、将来は人間の知能に近い神経回路、動作など
を生み出す可能性の高いコンピューターを創造せしめる
理論で、回路を高度化すればするほどハイレベルな人工
知能をもったコンピューターを作り出せるもの。 自己思考、自己制御機能を備えれば人間に近い人工物あ
るいは働きを成す機械人間を製造する人工知能理論であ
る。 ファジー素子とニューロ素子の組み合わせによる今まで
にない高度なコンピューターを作り出す人工知能理論で
ある。
[Claims] Structure of the invention A new artificial intelligence computer is created by combining fuzzy circuits and neurocircuits, and by devising circuit control and communication, it is possible to create a highly sophisticated computer, and in the future, it will surpass human intelligence. It is a theory that allows the creation of computers that have a high possibility of producing similar neural circuits and actions, and the more sophisticated the circuits, the higher the level of artificial intelligence that can be created. It is an artificial intelligence theory that creates artificial objects or machine humans that can perform functions similar to humans if they are equipped with self-thinking and self-control functions. It is an artificial intelligence theory that creates an unprecedentedly advanced computer by combining fuzzy elements and neuro elements.
JP2298509A 1990-11-02 1990-11-02 Artificial intelligence logic combining fuzzy and neuro Pending JPH04175826A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2298509A JPH04175826A (en) 1990-11-02 1990-11-02 Artificial intelligence logic combining fuzzy and neuro

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP2298509A JPH04175826A (en) 1990-11-02 1990-11-02 Artificial intelligence logic combining fuzzy and neuro

Publications (1)

Publication Number Publication Date
JPH04175826A true JPH04175826A (en) 1992-06-23

Family

ID=17860639

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2298509A Pending JPH04175826A (en) 1990-11-02 1990-11-02 Artificial intelligence logic combining fuzzy and neuro

Country Status (1)

Country Link
JP (1) JPH04175826A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9036119B2 (en) 2011-03-09 2015-05-19 Sharp Kabushiki Kaisha Liquid crystal composition, liquid crystal display device, and method for producing liquid crystal display device
US9239493B2 (en) 2010-12-22 2016-01-19 Sharp Kabushiki Kaisha Liquid crystal alignment agent, liquid crystal display, and method for manufacturing liquid crystal display
US10788714B2 (en) 2015-06-03 2020-09-29 Samsung Display Co., Ltd. Liquid crystal display and manufacturing method of the same

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9239493B2 (en) 2010-12-22 2016-01-19 Sharp Kabushiki Kaisha Liquid crystal alignment agent, liquid crystal display, and method for manufacturing liquid crystal display
US9036119B2 (en) 2011-03-09 2015-05-19 Sharp Kabushiki Kaisha Liquid crystal composition, liquid crystal display device, and method for producing liquid crystal display device
US10788714B2 (en) 2015-06-03 2020-09-29 Samsung Display Co., Ltd. Liquid crystal display and manufacturing method of the same

Similar Documents

Publication Publication Date Title
CN103809560A (en) Multi-axis motion control system based on linear motor, integrated computer and PLC (programmable logic controller)
JPH04175826A (en) Artificial intelligence logic combining fuzzy and neuro
Staib et al. Developments in neural network applications: the intelligent electric arc furnace
Pratumsuwan et al. Energy saving in electro-hydraulic system using a MIMO fuzzy controller
Spur et al. Impact of geometric modelling for computer integrated manufacturing
Syam Fuzzy logic control for pneumatic excavator model
Tatlicioglu et al. Coordination control for haptic and teleoperator systems
Adaway Machine vision in tomorrow's factory.
Yi et al. Design of Fuzzy Logic Controller for Robot Manipulators in the VSS Control Scheme
Zhang et al. Fuzzy variable structure control via output feedback
Sonnek Electronics vs. Graphs
Tachi Tele-Existence and/or Virtuarl Reality
Friscia What is implied by the automated factory.
Pelusi Cell control- the high and low of it.
Bélanger 19th IEEE conference on decision and control
Wyvill Current trends in graphics and animation.
Kato Coming robot new era (a viewpoint)
Furusho et al. Multivariable root-loci of control systems of robot manipulators(1 st report, the case of constant gain feedback).
Bohm Robotization in Forging Shops
Hewit Mechatronics: more than just a name
Korn Simulating a fuzzy-logic-controlled nonlinear servomechanism under Windows 95 or NT
Ivanescu et al. A control system for cooperating tentacle robots
Christman Automated factory series 24: Update on CAD, CAM and CIM.
Wu Towards a unified data scheme for geometrical representations
Chai et al. Contour Control of XY Tables Using Nonlinear Fuzzy PD Controller