A SA-Based Feature Selection and Parameter Optimization Approach for pport Vector Machine
碩士 === 華梵大學 === 資訊管理學系碩士班 === 94 === Support Vector Machine (SVM) is a new technique for pattern classification, and can be used in many applications. Kernel parameters setting in the SVM training process, along with the feature selection, will significantly impact the classification accuracy. The o...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2006
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| Online Access: | http://ndltd.ncl.edu.tw/handle/22945583949670593793 |