Application of Artificial Neural Network in Fluid Mechanics Teaching Evaluation System

Author

Zhu, Changjun ; Hao, Zhenchun

Author_Institution

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

Volume

2

fYear

2009

fDate

7-8 March 2009

Firstpage

12

Lastpage

15

Abstract

Based on the neural network method, a neural network model for comprehensive evaluation of teaching levels in fluid mechanics is built because the classic statistics method and static model can not meet the demand of precision to the nonlinear and uncertain system. The structure of the neural network model is described. The model is trained with fifty samples and tested with twenty samples. The test results agree well with the actual situation ,showing that the model is effective in evaluating the teaching levels.

Keywords

educational administrative data processing; engineering education; fluid mechanics; mechanical engineering; neural nets; artificial neural network; comprehensive evaluation; fluid mechanics teaching; nonlinear system; teaching evaluation system; uncertain system; Artificial neural networks; Biological neural networks; Computer science; Computer science education; Educational institutions; Educational technology; Hydrology; Neurons; Systems engineering education; Testing; evaluation; fluid mechanics; neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-1-4244-3581-4

Type

conf

DOI

10.1109/ETCS.2009.265

Filename

4958979