Bayesian network classifier based on PSO with predatory escape behavior

Abstract

Bayesian network classifier with precise structure has been proven to be NP-hard problem.A Bayesian network classifier based on Particle Swarm Optimization-Predatory Escape(PSO_PE) algorithm was proposed in this paper,which could effectively avoid the direct influence of feature reduction on the performance of classification and complete the precise learning Bayesian network.In addition,the proposed classifier was exploited in employment predication of vocational college and was experimentally tested on Weka.The experimental results show that compared with other Bayesian classifiers,the new classifier is more effective and precise to learn Bayesian network.