Computer neural network process measurement and control...

G - Physics – 06 – F

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G06F 15/18 (2006.01) G05B 13/02 (2006.01) G06F 15/46 (1990.01)

Patent

CA 2066458

A computer neural network process control system and method provides predicted values to a controller used to control a process for producing a product. The predicted value is produced by a neural network provided with stored input data from a historical database. The neural network is configured by a developer using a neural network configura- tion stage and step. The neural network is trained using training data stored in the historical database, which is com- pared with the predicted value produced by the neural ne- twork using input data obtained at a time associated with the time of the training data. An error signal is produced by the comparison of the predicted value with the training data, the error signal is used to train the neural network, and is al- so used to determine (1) whether the predicted values of the neural network should continue to be used by the controller, and (2) to retrain the network. Predicted values are thus pro- duced by the neural network which have a close correlation to the training values training data.

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