An Optimal TSK Fuzzy Neural Network Controller without Using the Error Change Rate Information
碩士 === 中原大學 === 電機工程研究所 === 90 === This thesis proposes an optimal FNNC whose initial setting of parameters and learning rate are done by AGA. The FNNC is based on TSK fuzzy model and is realized from the network point of view. The parameters of the fuzzy model are tuned on-line by a backpropogatio...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2002
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| Online Access: | http://ndltd.ncl.edu.tw/handle/99899543911075247802 |