Method and apparatus for selecting higher order terms for a holo

Data processing: artificial intelligence – Machine learning – Genetic algorithm and genetic programming system

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G06F 1518

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058648321

ABSTRACT:
A method and apparatus for selecting terms, preferably higher order terms, for use in a stimulus vector of a holographic neural network. The method includes an evolutionary type algorithm in which stimulus vector arrangements are preferably modelled as chromosomes containing genes that each uniquely identify one of a plurality of terms in a corresponding stimulus vector. Techniques for introducing variation and for selecting fit chromosome/stimulus vector arrangements are also disclosed, as is an apparatus for executing the term selecting method.

REFERENCES:
patent: 5140530 (1992-08-01), Guha et al.
Los Angeles Times, Business Section, "The Cutting Edge", Leslie Helm, Oct. 28, 1996, pp. D1 and D8.
D.J. Janson and J.F. Frenzel, "Training Product Unit Neural Networks with Genetic Algorithms," IEEE Expert, pp. 26-33, Oct. 1993.
B.T. Zhang and H. Muhlenbein, "Synthesis of Sigma-Pi Neural Networks by the Breeder Genetic Programming," Proc. First IEEE Conf. on Evoluntionary Computation, vol. 1, pp. 318-323, Jun. 1994.

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