NDLI: Investigation on the architecture of a fuzzy-neural computing system

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Investigation on the architecture of a fuzzy-neural computing system

Content Provider	IEEE Xplore Digital Library
Author	Jin Fan Fan Junbo
Copyright Year	1994
Description	Author affiliation: Res. Inst. of Neural Networks & Inf. Tech., Southwest Jiaotong Univ., Chengdu, China (Jin Fan; Fan Junbo)
Abstract	In addition to the well-known massively parallel distributed processing features, the main reason why the brain system of human beings is more intelligent and effective than traditional computers of Von Neumann type is that it is able to process various types of fuzzy information, and moreover, instead of a precise solution, it only seeks for some satisfactory solutions. In this paper a class of neural computing system, the inputs of which are of fuzzy type and the outputs of which are satisfactory solutions is suggested. The architecture of the fuzzy neural computing system is outlined, some new results concerning fuzzy associative memory are also given.
Starting Page	1619
Ending Page	1625
File Size	321696
Page Count	7
File Format	PDF
ISBN	078031901X
DOI	10.1109/ICNN.1994.374398
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-06-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer architecture Fuzzy systems Computer networks Fuzzy neural networks Fuzzy logic Fuzzy control Humans Fuzzy reasoning Biological neural networks Pattern recognition
Content Type	Text
Resource Type	Article

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