Anthony P Tzes

US Patent:

54448204, Aug 22, 1995

Filed:

Dec 9, 1993

Appl. No.:

8/165020

Inventors:

Anthony Tzes - Brooklyn NY
Vassilis Tsotras - New York NY

Assignee:

Long Island Lighting Company - Hicksville NY

International Classification:

G06F 1518

US Classification:

395 22

Abstract:

A hybrid fuzzy logic/neural network prediction system and method is disclosed for predicting response times to service requests to a service provider. Data from a historical database of records including customer requests and weather information are input to the hybrid system. The data is filtered to reject faulty data entries and data not necessarily useful for predicting response times to service requests such as customer comments are eliminated. A backpropagation neural network operating in a supervised learning mode is employed to decrease the effects of the inherent system nonlinearities. The prediction error from the neural network is trained to make predictions within a predetermined error limit. The neural network generates a prediction configuration; i. e. a set of neural network characteristics, for every record per geographical area, time frame, and month.