Efficient Generation of Simplified Fuzzy Rules and Continuation Verification of Fuzzy Rules
碩士 === 國立臺灣科技大學 === 電子工程技術研究所 === 86 === In this thesis, we propose an efficiency fuzzy neural network system for generating simplified fuzzy rules. In the proposed fuzzy neural network system, the revision algorithms are successful in analyzing the distribution of input data andgenerati...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
1998
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| Online Access: | http://ndltd.ncl.edu.tw/handle/84621614252951787323 |