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In this paper, we studied the two most commonly used artificial intelligence methods (Multilayer Perceptron and Radial Basis Function network) to build the credit scoring model of applications, and analyzed the most important restraining factors of the applications of neural network which is the exponential increase in the variables bringing the model over-complex. On this basis, the author combines...
This article aims to analyze the problems of housing mortgage loans. And it establishes an index system of credit risk evaluation according to the differences between developers and lenders. Based on artificial neural network, it establishes a credit risk evaluation and forecast model in housing mortgage loans, which will lay a foundation for the change of credit risk evaluation pattern and for the...
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