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Unsupervised training method for a neural net and a neural net classifier device

  • US 5,469,530 A
  • Filed: 05/22/1992
  • Issued: 11/21/1995
  • Est. Priority Date: 05/24/1991
  • Status: Expired due to Fees
First Claim
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1. A device for classifying in unsupervised training a pluralty of input vectors into classes comprising:

  • (a) neural net having an input for receiving the input vectors and an output for providing a pattern of output activations associated with the input vector, and a memory for storing values of operational parameters of the net;

    (b) a stochastic labeling means, coupled to the output, for generating weighting factors for each of the classes upon mutually correlating the output activations of the patterns and for perfoming a stochastic selection using probabilities of a single class on the basis of probabilities weighted by the weighting factors;

    (c) an intensifying means coupled to the memory for intensifying differences between the patterns by modifying the values of the operational parameters upon re-supplying the test vectors in random order and for storing the modified values in the memory.

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