GA-Based Feature Selection and Parameter Optimization for Support Vector Machine

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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Bibliographic Details
Main Authors:	Chieh-Jen Wang, 王界人
Other Authors:	Cheng-Lung Huang
Format:	Others
Language:	en_US
Published:	2005
Online Access:	http://ndltd.ncl.edu.tw/handle/40475728733920572350

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