MONITORING AND RETRAINING NEURAL NETWORK

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: (i) monitoring the performance of the first neural network in processing the information; (ii) creating a seco...

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Bibliographische Detailangaben
Hauptverfasser:	HOBSON, PHILIP, WILLIAM, FIELD, SIMON, TWITCHEN, KEVIN, JOHN, EDWARDS, TIMOTHY, JOHN, HAMER, PETER, BARSON, PAUL, COLIN
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	CALCULATING CHECKING-DEVICES COIN-FREED OR LIKE APPARATUS COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR WIRELESS COMMUNICATIONS NETWORKS
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Beschreibung
Zusammenfassung:	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: (i) monitoring the performance of the first neural network in processing the information; (ii) creating a second neural network of the same topology as the first when a predetermined performance threshold is reached, and (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.