ロボティクス・メカトロニクス講演会講演概要集
Online ISSN : 2424-3124
2000
会議情報
1A1-29-039 Evolving Neurofuzzy System for System Identification
陳 月輝川路 茂保
著者情報
会議録・要旨集 フリー

p. 35-

詳細
抄録
In this paper, based on teh data structure of the tree, two kinds of neurofuzzy model of nonlinear system and its learning algorithmare proposed. Simultaion results for the identification of nonlinear systems show the feasibility and effectiveness of the proposed method.
著者関連情報
© 2000 The Japan Society of Mechanical Engineers
前の記事 次の記事
feedback
Top