Fuzzy Neural Network Model and its Application in Teaching Quality Evaluation

Author

Zhu, Changjun ; Li, Lihong

Author_Institution

Coll. of Urban Constr., Hebei Univ. of Eng., Handan, China

fYear

2009

fDate

15-16 May 2009

Firstpage

239

Lastpage

242

Abstract

Teaching evaluation plays an important role in our higher education nowadays. In view of the problems existing in previous system of teaching quality, According to our teaching characteristics a new model of fuzzy neural comprehensive evaluation is set up by means of fuzzy 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; fuzzy neural nets; quality management; teaching; fuzzy neural comprehensive evaluation; fuzzy neural network model; fuzzy theory; mathematical model; teaching quality evaluation; Artificial neural networks; Education; Educational institutions; Fuzzy logic; Fuzzy neural networks; Fuzzy set theory; Fuzzy sets; Mathematical model; Neural networks; Neurons; evaluation; fuzzy neural network; teaching quality;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Ubiquitous Computing and Education, 2009 International Symposium on

Conference_Location

Chengdu

Print_ISBN

978-0-7695-3619-4

Type

conf

DOI

10.1109/IUCE.2009.23

Filename

5223172