A Recurrent Self-Evolving Interval Type-2 Fuzzy Neural Network for Dynamic System Processing and Its FPGA Implementation
碩士 === 國立中興大學 === 電機工程學系所 === 96 === This paper proposes a Recurrent Self-Evolving Interval Type-2 Fuzzy Neural Network (RSEIT2FNN) for dynamic system processing. The antecedent parts in each recurrent fuzzy rule of the RSEIT2FNN are interval type-2 fuzzy sets and the consequent part is of the Takag...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2008
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| Online Access: | http://ndltd.ncl.edu.tw/handle/08761401021124699384 |