Data processing: artificial intelligence – Neural network – Learning task
Reexamination Certificate
2006-09-18
2008-07-22
Hirl, Joseph P (Department: 2129)
Data processing: artificial intelligence
Neural network
Learning task
C706S015000, C706S014000
Reexamination Certificate
active
07403931
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.
REFERENCES:
patent: 6535728 (2003-03-01), Perfit et al.
patent: 6601048 (2003-07-01), Gavan et al.
patent: 6732082 (2004-05-01), Gavan et al.
patent: 7130807 (2006-10-01), Mikurak
patent: 7167844 (2007-01-01), Leong et al.
patent: 7191150 (2007-03-01), Shao et al.
patent: 2002/0133721 (2002-09-01), Adjaoute
California Scientific Software, BrainMaker Professional, 1993, California Scientific Software.
Dallas Charles Alan
Tayebnejad Mohammad Reza
Van Arkel John Hans
Van Camp Karl Aric
Hirl Joseph P
Verizon Business Global LLC
LandOfFree
Artificial intelligence trending system does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Artificial intelligence trending system, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Artificial intelligence trending system will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3971305