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＜conference paper＞
Formulation of Fuzzy Reasoning by Neural Network

Creator	Author PID 0000-0002-1431-9472 K002333 Creator Name 高木, 英行 Takagi, Hideyuki タカギ, ヒデユキ Affiliation Affiliation Name 松下電器産業株式会社中央研究所 Central Research Lab., Matsushita Electric Industrial Co., Ltd.
Creator	Creator Name 林, 勲 Hayashi, Isao ハヤシ, イサオ Affiliation Affiliation Name 松下電器産業株式会社情報システム研究所 Information Systems Research Laboratory, Matsushita Electric Industrial Co., Ltd.
Language	Japanese
Publisher	日本知能情報ファジィ学会
Publisher	日本ファジィ学会
Date	1988-05-30
Source Title	ファジィシステムシンポジウム講演論文集
First Page	55
Last Page	60
Conference	Name ファジィシステムシンポジウム FUZZY SYSTEM SYMPOSIUM Sequence 4 Sponsor 日本知能情報ファジィ学会日本ファジィ学会 Date MAY 30-31,1988 Place 東京 Tokyo Country Japan
Publication Type	Version of Record
Access Rights	open access
Abstract	In this paper, we propose Fuzzy Modeling formulated by Neural Network (NN). In Fuzzy Reasoning, the linguistic rules are represented by using propositions "IF x is A and y is B, THEN z is C". In Fuzzy... Modeling that has been proposed by M. Sugeno, z = f(x) is used instead of the proposition "z is C". Our method can obtain parameters in this function f(x) and linguistic variables definitively and easily, because NN has non-linearity and self-organization feature. This is a new method combined Fuzzy Reasoning and NN.show more
Table of Contents	1. はじめに 2. ファジィモデリング 3. 神経回路網モデル 4. 神粋回路網モデルによるファジィモデリングの定式化 5. 考察 6. おわりに

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NCID	BN06238689
Record ID	4479723
Created Date	2021.06.28
Modified Date	2021.08.02