Efficient Supervised and Reinforcement Evolutionary Learning for Functional-Link-Based Neuro-Fuzzy Networks
碩士 === 朝陽科技大學 === 資訊工程系碩士班 === 95 === In this thesis, supervised and reinforcement evolutionary learning methods are proposed for the functional-link-based neuro-fuzzy networks (FLNFN). The FLNFN model, which combines a neural fuzzy network with functional link neural network, is designed to improve...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2007
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| Online Access: | http://ndltd.ncl.edu.tw/handle/56085452796254755378 |