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METHOD FOR IMPROVING NEURAL NETWORK ARCHITECTURES USING EVOLUTIONARY ALGORITHMS

  • US 20020174079A1
  • Filed: 09/01/1999
  • Published: 11/21/2002
  • Est. Priority Date: 09/01/1999
  • Status: Active Grant
First Claim
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1. A method for enabling a determination of a preferred neural network architecture, the method comprising:

  • enabling an encoding of each chromosome of a plurality of chromosomes, each chromosome being associated with each neural network of a plurality of neural networks, each chromosome including;

    a first parameter that defines an initial condition of the associated neural network, and a second parameter that defines an architectural feature of the associated neural network, enabling an evaluation of each neural network of the plurality of neural networks based on the initial condition and the architectural feature of each neural network, to provide a measure of effectiveness associated with each chromosome, and enabling a selection of the preferred neural network architecture based on the measure of effectiveness associated with each chromosome.

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