Title :
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
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;
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
DOI :
10.1109/ETCS.2009.265
