Artificial intelligence trending system

Details Artificial intelligence trending system Artificial intelligence trending system

2006-09-26

2006-09-26

Hirl, Joseph P. (Department: 2129)

Data processing: artificial intelligence

Neural network

Learning task

C706S015000, C706S016000

Reexamination Certificate

active

07113932

ABSTRACT:
A data processing system program to develop, train, and implement a neural network for identifying customers who represent a bad debt risk is disclosed. A feature vector is applied to a neural network to generate outputs that approximate the relative likelihood that customers who are the subjects of the records used to generate the feature vector will be a bad debt risk. Statistical values relating categorical attributes of the customers to the likelihood of their becoming a bad debt risk are substituted for the categorical attributes, and the attributes are normalized before the feature vector is applied to the network. In one embodiment the customers are customers of a long distance service provider.

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Amir F. Atiya, Brankruptcy Prediction for Credit Risk Using Neural Networks: Survey and New Results, Jul. 2001, IEEE, 1045-9227/01, 929-935.

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