Hardware Design of an Adaptive Neuro-Fuzzy Network with On-Chip Learning Capability and Fine Grain Pipeline Structure
碩士 === 國立成功大學 === 電機工程學系碩博士班 === 94 === This thesis focuses on a digital hardware implementation of an adaptive neuro-fuzzy network with on-chip learning capability. We adopt a backpropagation learning algorithm to optimize the network parameters. To minimize the computational time and resources, we...
| Main Authors: | , |
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| Format: | Others |
| Language: | en_US |
| Published: |
2006
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| Online Access: | http://ndltd.ncl.edu.tw/handle/46367222500612789458 |