Presentation 1993/5/28
Application of neural network theory for fuzzy rule changing system by using microprocessor
Youichi Shimada, Yasuyoshi Higashi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We have designed and developed a microprocessor system which could change the fuzzy rule value according to the neural network theory,and measured the proccessing time in experiments.This neural network system which acts as Pereptron accepts the 7 bits data from the fuzzy control system,then the data are classlied into some patterns and modified to change the fuzzy rule.The microprocessor used Z84C015AF in this system and the program of this system is described with assembly language.It was obseved that the processing time of the system ware about 2ms to learn the condition caused by changing a part of data and O.1ms to classfy into the respective patterns with 7 bits data.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Microprocessor / Multilayer neural network theory / Learning algorism / Pattern classification / Changing Fuzzy rule
Paper # MBE93-17
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Committee MBE
Conference Date 1993/5/28(1days)
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Registration To ME and Bio Cybernetics (MBE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Application of neural network theory for fuzzy rule changing system by using microprocessor
Sub Title (in English)
Keyword(1) Microprocessor
Keyword(2) Multilayer neural network theory
Keyword(3) Learning algorism
Keyword(4) Pattern classification
Keyword(5) Changing Fuzzy rule
1st Author's Name Youichi Shimada
1st Author's Affiliation Department of Manegerial Engineering,Kanazawa Institute of Technology()
2nd Author's Name Yasuyoshi Higashi
2nd Author's Affiliation Department of Manegerial Engineering,Kanazawa Institute of Technology
Date 1993/5/28
Paper # MBE93-17
Volume (vol) vol.93
Number (no) 84
Page pp.pp.-
#Pages 8
Date of Issue