DocumentCode :
3262844
Title :
Quality Evaluation of Universities Undergraduate Practice Teaching Work Based on Artificial Neural Network
Author :
Wang Chang-long ; Qi, Yan-Ming
Author_Institution :
Sch. of Civil Eng., Hebei Univ. of Eng., Handan, China
Volume :
2
fYear :
2009
fDate :
6-7 June 2009
Firstpage :
393
Lastpage :
396
Abstract :
According to existing problems in universities undergraduate practice teaching work, a simulation model is established on neural network, according to experiment teaching, practice teaching, graduation project and graduation thesis, laboratory management and equipment use as input layer, quality of universities undergraduate practice teaching work as output layer, establish artificial neural network model, and actual data were used for training and practice of the network. The practice showed that the model has well recognizes the precision. Finally obtains digitized the appraisal result, can be accurate, direct-viewing reflection the quality undergraduate practice teaching work the fit and unfit, thus the wide prospect of artificial neural network in the evaluation of quality of universities undergraduate practice teaching work were presented.
Keywords :
neural nets; teaching; artificial neural network; graduation project; graduation thesis; quality evaluation; undergraduate practice teaching work; Artificial neural networks; Civil engineering; Computational intelligence; Computational modeling; Computer networks; Data engineering; Education; Educational institutions; Management training; Neurons; artificial neural network; output layer; practice work; undergraduate practice; universities; weight;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3645-3
Type :
conf
DOI :
10.1109/CINC.2009.24
Filename :
5230940
Link To Document :
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