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Associative neuron in an artificial neural network

  • US 6,625,588 B1
  • Filed: 09/24/1999
  • Issued: 09/23/2003
  • Est. Priority Date: 03/26/1997
  • Status: Expired due to Term
First Claim
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1. A method of forming output signals of an associative artificial neural network, the method comprising;

  • receiving a number of auxiliary signals;

    forming a corresponding weighting coefficient for each auxiliary signal;

    forming from the auxiliary signals a sum weighted by the corresponding coefficients;

    applying a non-linear function to the weighted sum to generate a non-linear signal V;

    receiving a main signal S, which can be associated with the auxiliary signals such that the weighting coefficient of each auxiliary signal is increased when the main signal S and said auxiliary signal are simultaneously active; and

    forming, based on the main signal S and the non-linear signal V, a function S OR V, which is used to generate a main output signal, and at least one of three logical functions, including S AND V, NOT S AND V, and S AND NOT V, and using said at least one logical function to generate an additional output signal for the associative artificial neural network.

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