Abstract
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 efficient support in loan decision-making.
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