Title :
The Application on the Evaluation of Quality of Universities Undergraduate Theory Teaching Work Based on Artificial Neural Network
Author :
Qi Jun-qiao ; Wang Chang-long ; Qi Yan-ming
Author_Institution :
Dept. of Student Work, Hebei Univ. of Eng., Handan, China
Abstract :
In order to comprehensively evaluate the universities undergraduate theory teaching work, a simulation model is established on neural network, according to teaching management, specialty construction and curriculum reform, teaching research and results, teaching quality as input layer, quality of universities undergraduate theory 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 theory teaching work the fit and unfit, thus the wide prospect of artificial neural network in the evaluation of quality of universities undergraduate theory teaching work were presented.
Keywords :
educational institutions; neural nets; simulation; teaching; artificial neural network; simulation; undergraduate theory teaching work; universities; Art; Artificial neural networks; Civil engineering; Data engineering; Education; Educational institutions; Information security; Management training; Neurons; Quality management; artificial neural network; input layer; undergraduate theory teaching; universities; weight;
Conference_Titel :
Information Assurance and Security, 2009. IAS '09. Fifth International Conference on
Conference_Location :
Xian
Print_ISBN :
978-0-7695-3744-3
DOI :
10.1109/IAS.2009.139