A Self-Constructing General Type-2 Scheme for Neuro-Fuzzy System Modeling
碩士 === 國立中山大學 === 電機工程學系研究所 === 97 === We propose a self-constructing general type-2 fuzzy neural network for system modeling. The problems of constructing a general type-2 fuzzy neural network include type reduction, structure identification, and parameter identification. Regarding the type reducti...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2009
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| Online Access: | http://ndltd.ncl.edu.tw/handle/v2z966 |