Directors of Comprehensive Quality System of College Students in China: Based on BP Neural Network

Qian ZHANG, Ling WANG, Ying MA


Chinese college students’ comprehensive quality is evaluated by using a number of indicators. The students’ comprehensive quality indicators are nonlinearity and uncertainty which can not be measured accurately. The BP network model can be a good solution to this problem. For this purpose, the BP neural network integrated assessment model for students has been established to effectively judge the quality of all aspects of the university students, and evaluate the reliability of the analysis. Research on the BP network model, its function can be achieved true judgment, made out of the heavy information inquiry, summarizing work out.


BP neural network; Comprehensive evaluation; Evaluation results

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