A distributed PSO-Based Feature Selection and Parameters Optimization system for Support Vector Machines

A distributed PSO-Based Feature Selection and Parameters Optimization system for Support Vector Machines

碩士 === 華梵大學 === 資訊管理學系碩士班 === 93 === The paper proposed a distributed data mining architecture based on the web service technology by using the Particle Swarm Optimization (PSO) and Support Vector Machines (SVM). PSO is used as the input features selection on the server side, while SVM is used as th...

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Bibliographic Details
Main Authors:	Jian-Fan Duan, 段建帆
Other Authors:	Cheng-Lung Huang
Format:	Others
Language:	zh-TW
Published:	2005
Online Access:	http://ndltd.ncl.edu.tw/handle/27745483913569475426

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