Pattern recognition apparatus using a neural network system

  • US 5,060,278 A
  • Filed: 05/15/1990
  • Issued: 10/22/1991
  • Est. Priority Date: 05/20/1989
  • Status: Expired due to Term
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First Claim
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1. A pattern recognition apparatus, comprising:

  • (a) pattern input means for inputting pattern data and learning data;

    (b) a neural network system including a plurality of neural networks, wherein;

    (1) each of said plurality of neural networks receives said pattern data from said pattern input means;

    (2) each of said plurality of neural networks is assigned a corresponding one of a plurality of identification classes and has only two output units consisting of a first unit (Uo1) and a second unit (Uo2);

    (3) learning for each of said plurality of neural networks is performed by using said learning data belonging to all of said identification classes so that;

    (A) when each of said neural networks receives said learning data belonging to said corresponding one of the identification classes;

    (i) an output value A from said first unit (Uo1) equals a first value V1; and

    (ii) an output value B from said second unit (Uo2) equals a second value V2; and

    (B) when each of said neural networks receives learning data belonging to one of said identification classes other than said corresponding one of the identification classes;

    (i) said output value A from said first unit (Uo1) equals said second value V2 and(ii) said output value B from said second unit (Uo2) equals said first value V1; and

    (c) judgment means for judging which one of the identification classes said pattern data from said pattern input means belongs to, on the basis of output values A and B from said two output units (Uo1) and (Uo2) of all neural networks.

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