Overdue monitoring method for optimizing recurrent neural network based on ant colony algorithm
A technology of cyclic neural network and ant colony algorithm, which is applied in the field of overdue monitoring based on an ant colony algorithm to optimize the cyclic neural network, can solve the problems of model convergence speed and prediction accuracy that are not ideal
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[0091] see figure 1 , the present invention provides a technical solution:
[0092] An overdue monitoring method based on an ant colony algorithm to optimize a recurrent neural network, a kind of overdue monitoring method based on an ant colony algorithm to optimize a recurrent neural network, a kind of overdue monitoring method based on an ant colony algorithm to optimize a recurrent neural network, comprising the following six steps :
[0093] S1. Collect a certain proportion of customers with normal and overdue repayment performance as modeling samples, and collect basic personal information of customer account registration, user repayment, overdue, consumption and other behavior data as credit data, based on normal and overdue repayment performance. Overdue repayment performance labeling of customers;
[0094] S2. Preprocessing the credit data collected in step S1, including removing abnormal data, reducing noise and normalizing processing, and obtaining the preprocessed...
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