Application of neural network based on particle swarm algorithm for the results of the students
Intelligent Control and Automation（2010）
摘要
This paper presents a particle swarm optimization(PSO) algorithm in training a back propagation (BP) neural network which is used for a prediction model of the results of the college students. The present algorithm is used to combine the influencing factors of the students results with the results themselves. Compared to the BP algorithm, the present algorithm achieves better error precision with a fewer number of iterations and establishes a better prediction system.
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关键词
neural networks,students,learning (artificial intelligence),pso,particle swarm optimisation,prediction,models,prediction system,back propagation neural network,particle swarm optimization(pso),particle swarm optimization (pso),particle swarm algorithm,learning artificial intelligence,particle swarm optimization,construction industry,predictive models,back propagation,particle swarm,prediction algorithms,artificial neural networks,automation,prediction model,neural network
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