Recurrent Fuzzy Neural Network Controller Designed by Dynamic Backpropagation Algorithms and Implemented in MRAS
碩士 === 中原大學 === 電機工程學系 === 88 === In the thesis, a recurrent fuzzy neural network controller (RFNNC) is proposed and realized in a model reference adaptive system (MRAS). The proposed controller combines the recurrent neural network with fuzzy logic control. The memory element is represented by addi...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2000
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| Online Access: | http://ndltd.ncl.edu.tw/handle/23231625762159366468 |