Computer Science ›› 2015, Vol. 42 ›› Issue (Z11): 1-4.

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Customer Classification Model of Employers by Using BP Neural Networks

QIAO Fei and GE Yan-hao   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Customer classification of employers brings great benefits for correctly evaluating the category of each employers,which helps decision-makers to appraise the corporation efficiency when they corporate with each customer.In order to give quantitative model to help solving this problem,we extracted raw data series from the educational management information system and built a classification calculating model based on BP neural network.Then we managed to get each value of the parameters in the model by training the historical datasets and compared the result of prediction with other methods which are widely used nowadays to solve this problem.Finally we made a conclusion that customer classification of employers for career guiding service by using BP neural network model performs better than other existing solutions and gives more efficient supports to management layer of universities and government by making comparably precise predictions.

Key words: BP neural network,Data mining,Data classification problem,Career guiding information service

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