Using FP-growth Genetic Algorithm to Construct Neural-Fuzzy Control Systems Based on Reinforcement Learning Scheme
碩士 === 國立交通大學 === 電機與控制工程系所 === 96 === Recently, evolutionary algorithms are widely applied in several regions. In the traditionalgenetic algorithm, the chromosome is evolved by using random search to execute crossover and mutation. However, the gene with good performance may be tuned repeatedly and...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2008
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| Online Access: | http://ndltd.ncl.edu.tw/handle/68499373612441324994 |