제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 2002년도 ICCAS
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- Pages.102.1-102
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- 2002
A Hybrid Modeling Architecture; Self-organizing Neuro-fuzzy Networks
초록
In this paper, we propose Self-organizing neurofuzzy networks(SONFN) and discuss their comprehensive design methodology. The proposed SONFN is generated from the mutually combined structure of both neurofuzzy networks (NFN) and polynomial neural networks(PNN) for model identification of complex and nonlinear systems. NFN contributes to the formation of the premise part of the SONFN. The consequence part of the SONFN is designed using PNN. The parameters of the membership functions, learning rates and momentum coefficients are adjusted with the use of genetic optimization. We discuss two kinds of SONFN architectures and propose a comprehensive learning algorithm. It is shown that this network...
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