Fuzzy Rule Based Backpropagation Neural Network Constructed by Divide-and-Conquer Technique
碩士 === 國立中興大學 === 電機工程學系 === 93 === This thesis proposes a novel neural fuzzy network, the Fuzzy Rule Based Back-Propagation Neural Network (FRBPNN), constructed based on the divide-and-conquer technique. In fuzzy rule form, the FRBPNN is of Takagi-Sugeno-Kang (TSK)-type, where the consequence is a...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2005
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| Online Access: | http://ndltd.ncl.edu.tw/handle/21539678188308010459 |