DocumentCode :
2830058
Title :
PSO-Based RBF Neural Network Model for Teaching Quality Evaluation
Author :
Zhu, Changjun ; Wang, Bin
Author_Institution :
Coll. of Urban Constr., Hebei Univ. of Eng., Handan, China
fYear :
2009
fDate :
11-12 July 2009
Firstpage :
47
Lastpage :
50
Abstract :
In view of the problems existing in previous system of teaching quality, according to our teaching characteristics a new model of PSO-based teaching quality evaluation is set up by means of PSO theory and neural network. And the application procedure of the model is illuminated in detail. By analyzing a lot of practical examples, the experiment result indicates that this mathematical model has better appraisal effect and can overcome the complexity of traditional evaluation model. Compared with other methods, this method is scientific, simple and operable. And its structure and method will have a bright future.
Keywords :
educational administrative data processing; particle swarm optimisation; radial basis function networks; teaching; PSO-based RBF neural network model; mathematical model; teaching quality evaluation; Birds; Education; Educational institutions; Equations; Fuzzy logic; Fuzzy neural networks; Fuzzy sets; Industrial training; Mathematical model; Neural networks; PSO; evaluation; teaching quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems Engineering, 2009. CASE 2009. IITA International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-0-7695-3728-3
Type :
conf
DOI :
10.1109/CASE.2009.69
Filename :
5194387
Link To Document :
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