Identification and Control of Nonlinear Dynamical Systems Using Recurrent Fuzzy Network Design
碩士 === 華梵大學 === 機電工程研究所 === 90 === Fuzzy system is widely applied to a variety of field. Adjustment of premise and consequent part of fuzzy learning rules is crucial to the performance of a fuzzy system. This thesis presents a Takagi-Sugeno-type recurrent fuzzy network which co...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2002
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| Online Access: | http://ndltd.ncl.edu.tw/handle/17820081526591163882 |