Presentation 1994/3/25
Fuzzy Inference Neural Networks which Automatically Partition a Pattern Space and Extract Fuzzy If-Then Rules
Takatoshi Nishina, Masafumi Hagihara,
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Abstract(in English) This paper proposes Fuzzy Inference Neural Networks(FINNs)which automatically partition a pattern space and extract fuzzy if-then rules from numerical data.There are three distinctive features in our model:1)the membership functions of the fuzzified part are constructed in the connection between the input-part and the rule- layer;2)Kohonen′s self-organizing algorithm is applied to partitio n the input-output space.Consequently,they can extract polished fuzzy if-then rules;3)they can adapt the number of rules automatically.We deal with two illustrative examples:1)fuzzy control of unmanned vehicle;2)prediction of the trend of stock prices.Computer simulation results indicate the effectiveness of the proposed FINNs.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) FINNs / Fuzzy / Neural Networks / Self-orgarizing / Partition of the input-output space / If-then rules
Paper # NC93-124
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Committee NC
Conference Date 1994/3/25(1days)
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Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Fuzzy Inference Neural Networks which Automatically Partition a Pattern Space and Extract Fuzzy If-Then Rules
Sub Title (in English)
Keyword(1) FINNs
Keyword(2) Fuzzy
Keyword(3) Neural Networks
Keyword(4) Self-orgarizing
Keyword(5) Partition of the input-output space
Keyword(6) If-then rules
1st Author's Name Takatoshi Nishina
1st Author's Affiliation Keio University()
2nd Author's Name Masafumi Hagihara
2nd Author's Affiliation Keio University
Date 1994/3/25
Paper # NC93-124
Volume (vol) vol.93
Number (no) 537
Page pp.pp.-
#Pages 8
Date of Issue