DocumentCode
1689301
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
fYear
2010
Firstpage
1218
Lastpage
1221
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location
Jinan
Print_ISBN
978-1-4244-6712-9
Type
conf
DOI
10.1109/WCICA.2010.5554508
Filename
5554508
Link To Document