Process optimization using a neural network

Details Process optimization using a neural network Process optimization using a neural network

1994-01-03

1997-09-23

Davis, George B.

395 24, G06F 1518

Patent

active

056713355

ABSTRACT:
An input to a complex multi-input process, such as injection molding, is optimized to produce a target output from that process through the use of a neural network trained to that process. A trial input is forward-propagated through the neural network and the output of the network compared to the target output. The difference is back-propagated through the network to determine an input error value in the network. This error value is used to correct the trial input. This correction process is repeated until the trial input produces the target output to within a predetermined degree of accuracy.

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