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This paper is concerned with the identification of nonlinear systems by utilizing soft computing approaches. A uniformly framework for evolving the basis function,networks is proposed. The used soft computing technologies including probabilistic incremental program evolution algorithm, (PIPE), artificial neural networks (ANNs), fuzzy systems and random search algorithm.. Simulation results for the identification, of nonlinear systems show the feasibility and effectiveness of the proposed method
Published in:
Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE
(Volume:3
)
Date of Conference: 2000
- Page(s):
- 1803 - 1808 vol.3
- Meeting Date :
- 22 Oct 2000-28 Oct 2000
- Print ISBN:
- 0-7803-6456-2
- INSPEC Accession Number:
- 7274661
- Conference Location :
- Nagoya
- Digital Object Identifier :
- 10.1109/IECON.2000.972549
- Product Type:
- Conference Publications
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