Clonal Selection Algorithm for Feature Selection and Parameters Optimization of Support Vector Machines

This paper presents the clonal selection algorithm (CSA) to select a proper subset of features and optimal parameters of support vector machines (SVMs) classifier. Like the genetic algorithm, clonal selection algorithm is a tool for optimum solution to select better parameters, in our experiment, to...

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Veröffentlicht in:	KAM 2009 : proceedings : 2009 second International Symposium on Knowledge Acquisition and Modeling : 30 November - 1 December 2009, Wuhan, China Jg. 2; S. 17 - 20
Hauptverfasser:	Sheng Ding, ShunXin Li
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.2009
Schlagworte:	Artificial Immune System (AIS) Artificial immune systems Clonal Selection Algorithm Feature selection Genetic algorithms Kernel Knowledge acquisition Optimization methods Paper technology Polynomials Remote sensing Support vector machine classification Support Vector Machine(SVM) Support vector machines
ISBN:	9780769538884, 0769538886
Online-Zugang:	Volltext
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