Proceedings of the Annual Meeting of Biomedical Fuzzy Systems Association : BMFSA
Online ISSN : 2433-1449
会議情報
ニューラルネットワークによるパターン認識の非ファジイ化法への応用
牧野 和隆中村 悟二神 幸次郎樋口 駿青山 敏信
著者情報
会議録・要旨集 フリー

p. 161-166

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抄録
In most of the Fuzzy Controllers or Fuzzy Inference systems, the center of gravity method is widely used as a defuzzifier method. We can occasionally find that several conclusion patterns in Fuzzy Inference are obviously different each other, although the results from defuzzification show middle and almost equal. Some of their outlines are classified to uni-peak, bi-peak or flat pattern for example, and these three types suggest different meanings respectively. In this study, we discuss new approach in which Neural Networks classify several conclusion patterns into three groups. This method will probably present additional information in medical decision making.
著者関連情報
© 1992 Biomedical Fuzzy Systems Association
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