| abstract |
A parallel distributed processing network, previously trained to simulate a process, is responsive to input activations A to produce outputs Y. The activations are representative of the input parameters P of the process and the outputs are representative of the characteristics C of the product of the process. A set of goal signals G corresponding to the desired physical characteristics D of the product are produced and used to generate a signal representative of the error E between the goal signals G and the outputs Y of the network. The values of the updated inputs AU of the network that are needed to drive the error E to a predetermined minimum are determined, and the actual physical input parameters P of the process changed to correspond to the updated inputs values AU producing the minimum error. The present invention can be used in both a batch initialization situation and/or in an on-going process control situation. |