Nonlinear System Identification Using Gaussian-Hopfield Neural Networks
碩士 === 輔仁大學 === 電子工程學系 === 92 === In this thesis, a Gaussian-Hopfield neural network (GHNN) based on delta-learning rules or adaptive bound genetic algorithms (ABGAs) to identify a discrete-time nonlinear system is proposed. The nonlinear part of the equivalent nonlinear system can be rep...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2004
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| Online Access: | http://ndltd.ncl.edu.tw/handle/38179505094637441957 |