Title :
Application of neural network based on particle swarm algorithm for the results of the students
Author :
Zhang, Wen-Ying ; Peng, Xiu-Yan ; Tang, Mo
Author_Institution :
Sch. of Sci., Harbin Eng. Univ., Harbin, China
Abstract :
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.
Keywords :
learning (artificial intelligence); particle swarm optimisation; PSO; back propagation neural network; particle swarm algorithm; prediction system; Artificial neural networks; Automation; Construction industry; Educational institutions; Particle swarm optimization; Prediction algorithms; Predictive models; models; neural networks; particle swarm optimization(PSO); prediction; students;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554508
