Intelligent Control System Design using Self-Evolving and PSO Algorithm
博士 === 元智大學 === 電機工程學系 === 106 === This dissertation presents an intelligent control system design using self-evolving and particle swarm optimization (PSO) algorithms. The wavelet cerebellar model articulation controller (WCMAC), type-2 fuzzy neural network (T2FNN) and type-2 brain emotional learni...
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| Format: | Others |
| Language: | en_US |
| Published: |
2017
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| Online Access: | http://ndltd.ncl.edu.tw/handle/wjb242 |