The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 22, 2008

Filed:

Sep. 18, 2006
Applicants:

Mohammad Reza Tayebnejad, Colorado Springs, CO (US);

Karl Aric Van Camp, Colorado Springs, CO (US);

Charles Alan Dallas, Colorado Springs, CO (US);

John Hans Van Arkel, Colorado Springs, CO (US);

Inventors:

Mohammad Reza Tayebnejad, Colorado Springs, CO (US);

Karl Aric Van Camp, Colorado Springs, CO (US);

Charles Alan Dallas, Colorado Springs, CO (US);

John Hans Van Arkel, Colorado Springs, CO (US);

Assignee:

Verizon Business Global LLC, Basking Ridge, unknown;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06E 1/00 (2006.01); G06E 3/00 (2006.01); G06F 15/18 (2006.01); G06G 7/00 (2006.01);
U.S. Cl.
CPC ...
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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