Abstract
This paper analyses the neural network method for personal credit evaluation. Firstly, it introduces personal credit evaluation and its research. Secondly, it analyses the characteristics of two types of commonly used methods for personal credit evaluation. Then it introduces the structure and characteristics of artificial neural network and puts forward 10 indicators for personal credit evaluation. On this basis, it designs Elman neural network and tries to use this network to evaluate personal credit. According to the results of experimental verification, this personal credit evaluation algorithm shows a high accuracy for the evaluation of personal credit.
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