Patent · US Expired

Monitoring and retraining neural network

US6067535A · kind A · utility

83Cited by
7References
17Claims
0Family size

Assignee

Inventors

Key dates

Filing dateJun 5, 1997
Grant dateMay 23, 2000
Priority date
Expiry dateJun 5, 2017

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG07F7/08
  • WIPO fieldIT methods for management
  • WIPO sectorElectrical engineering

Abstract

A method of managing the processing of information using a first neural network, the information relating to the transmission of messages in a telecommunications network, uses the steps of: PA1 (i) monitoring the performance of the first neural network in processing the information; PA1 (ii) creating a second neural network of the same topology as the first when a predetermined performance threshold is reached, and PA1 (iii) retraining the second neural network while continuing to process the information using the first neural network. If the neural networks are implemented using objects, such retraining can be facilitated by using a persistance mechanism to enable the objects to be stored and moved. Applications in fraud detection.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.