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On-line process control neural network using data pointers

DC
  • US 5,167,009 A
  • Filed: 08/03/1990
  • Issued: 11/24/1992
  • Est. Priority Date: 08/03/1990
  • Status: Expired due to Term
First Claim
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1. A computer neural network process control system adapted for predicting output data provided to a controller used to control a process for producing a product having at least one product property, the computer neural network process control system comprising:

  • (a) an historical database comprising,(1) storing means for storing a first training input data with an associated first timestamp, and for storing a first input data indicated by said associated first timestamp, and(2) retrieving means, responsive to said storing means, for retrieving said first training input data and said first input data indicated by said associated first timestamp; and

    (b) a trained neural network comprising,(1) a first data pointer and a second data pointer, and(2) predicting means, using said trained neural network, for predicting the output data which is stored in accordance with said first data pointer, the output data predicted in accordance with second input data specified by said second data pointer, wherein the output data is used to control the process.

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