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- W2364786632 abstract "With the development of credit card market in China,consume behavior of risk prediction of credit card has been an important research area.BP algorithm is often used to solve the risk prediction problem,but it has some disadvantage,such as easily trapped into local minima value,slowly convergence,these limitations would effect risk prediction.In this paper,the author proposed a mixed BP neural network algorithm,based on BP neural network algorithm,it optimized by GA.Finally,this paper proved that the mixed algorithm is better than BP through data set test,and it could improve the test rate and correct rate of credit card consume behavior risk prediction." @default.
- W2364786632 created "2016-06-24" @default.
- W2364786632 creator A5073871731 @default.
- W2364786632 date "2011-01-01" @default.
- W2364786632 modified "2023-09-24" @default.
- W2364786632 title "Risk Prediction of Credit Card Consume Behavior Based on Mixed BP Neural Network Algorithm" @default.
- W2364786632 hasPublicationYear "2011" @default.
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