Research of a Constraint-Based Particle Swarm Optimization and Genetic Algorithm Approach for Mining Classification Rule

碩士 === 清雲科技大學 === 電子工程系所 === 97 === This paper aims to develop a constraint-based particle swarm optimization and genetic algorithm approach for mining classification rules. Existing particle swarm optimization (PSO) designed for rule induction evaluates the rules as whole via a fitness function. Ma...

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Bibliographic Details
Main Authors: Feng-Tse Chan, 詹豐澤
Other Authors: 徐培倫
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/78027137682002115358