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...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2009
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Online Access: | http://ndltd.ncl.edu.tw/handle/78027137682002115358 |