粒子群算法支持向量机的半监督回归

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Abstract:

The paper combines support vector machine based on particle swarm optimization with semi-supervised regression theory to bring about a semi-supervised regression model.The paper uses the experimental datasets to compare with the genetic algorithm supervised support vector machine model and the particle swarm optimization support vector machine.Experimental results show that the semi-supervised regression model based on particle swarm optimization support vector machine can improve the precision of regression estimates.

Key words: semi-supervised learning;support vector machine;particle swarm optimization;genetic algorithm

CLC Number:

TP181

MA Lei. Semi-Supervised Regression Based on Particle Swarm Optimization and Support Vector Machine[J]., 2013, 26(9): 10-.

Semi-Supervised Regression Based on Particle Swarm Optimization and Support Vector Machine

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