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