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 Japanese) | (See Japanese page) |
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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Conference Information | |
Committee | NC |
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Conference Date | 1994/3/25(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Neurocomputing (NC) |
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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 |