Data processing: artificial intelligence – Neural network – Learning task
Patent
1995-09-28
1998-11-03
Hafiz, Tariq R.
Data processing: artificial intelligence
Neural network
Learning task
706 16, G06E 100, G06E 300
Patent
active
058324682
ABSTRACT:
An artificial neural network is used to predict the current state of a process based upon sensor measurements of the process variables at previous times. The output of the neural network provides the process control system with the predicted process state, thereby reducing the time lag of the sensors and providing improved control of the process.
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Allen, M. et al., "An imaging neural network combustion control system for utility boiler applications". Combustion and Flame, vol. 94, pp. 205-214 (1993).
Ortiz, G. et al., "A neural network approach to implement knowledge bases for electric power applications". Insituto de Investigaciones Electricas, pp. 17-1--65-13.
Fu, Chunsheng et al., "System identification and real--time pattern recognition by neural networks for an activated sludge process", Enviromental International, vol. 21, No. 1, pp. 57-69 (1995).
Capone Ronald L.
Chappell Paul Jeffrey
Fritsky Keith Joseph
Lemieux Paul Michael
Miller Charles Andrew
Hafiz Tariq R.
The United States of America as represented by the Administrator
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