Type-2 Neuro-Fuzzy System Modeling with Hybrid Learning Algorithm
博士 === 國立中山大學 === 電機工程學系研究所 === 99 === We propose a novel approach for building a type-2 neuro-fuzzy system from a given set of input-output training data. For an input pattern, a corresponding crisp output of the system is obtained by combining the inferred results of all the rules into a type-2 fu...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2011
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| Online Access: | http://ndltd.ncl.edu.tw/handle/51550544296657248151 |