The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2000
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1A1-29-039 Evolving Neurofuzzy System for System Identification
[in Japanese][in Japanese]
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CONFERENCE PROCEEDINGS FREE ACCESS

Pages 35-

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Abstract
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.
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© 2000 The Japan Society of Mechanical Engineers
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