Bayesian neural networks for optimization and control

  • US 6,725,208 B1
  • Filed: 04/12/1999
  • Issued: 04/20/2004
  • Est. Priority Date: 10/06/1998
  • Status: Active Grant
First Claim
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1. A method for determining the optimum operation of a system, comprising the steps of:

  • receiving the outputs of the system and the measurable inputs to the system; and

    optimizing select ones of the outputs as a function of the inputs by minimizing an objective function J to provide optimal values for select ones of the inputs;

    wherein the step of optimizing includes the step of predicting the select ones of the outputs with a plurality of models of the system, each model operable to map the inputs through a representation of the system to provide predicted outputs corresponding to the select ones of the outputs which predicted outputs of each of the plurality of models are combined in accordance with a predetermined combination algorithm to provide a single output corresponding to each of the select ones of the outputs.

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