GA-Based Feature Selection and Parameter Optimization for Support Vector Machine
碩士 === 華梵大學 === 資訊管理學系碩士班 === 93 === Support Vector Machines, one of the new techniques for pattern classification, have been widely used in many application areas. The kernel parameters setting for SVM in a training process impacts on the classification accuracy. Feature selection is another factor...
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| Format: | Others |
| Language: | en_US |
| Published: |
2005
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| Online Access: | http://ndltd.ncl.edu.tw/handle/40475728733920572350 |