A Recurrent Neural Fuzzy Network with Improved Particle Swarm Optimization for Solving Nonlinear System Control Problems
碩士 === 朝陽科技大學 === 資訊工程系碩士班 === 95 === In this thesis, we proposed a recurrent neural fuzzy network (RNFN) with improved particle swarm optimization (IPSO) for solving nonlinear system control problem. The RNFN model is a feedforward multi-layer network which integrates traditional Takagi-Sugeno-Kang...
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| Format: | Others |
| Language: | en_US |
| Published: |
2007
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| Online Access: | http://ndltd.ncl.edu.tw/handle/20563612663583550439 |