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Learning system for a data processing apparatus

  • US 5,297,237 A
  • Filed: 07/17/1992
  • Issued: 03/22/1994
  • Est. Priority Date: 02/20/1989
  • Status: Expired due to Term
First Claim
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1. A learning system for use in a data processing apparatus for learning an input pattern by obtaining an internal-state value necessary for realizing a desired data conversion, comprising:

  • a pattern converting neural network having a multiplier, an accumulator and a threshold value processor for performing a pattern conversion defined by the internal-state value and for calculating an output pattern corresponding to the input pattern;

    pattern presenting means, coupled to said pattern converting neural network, for inputting to the learning system an input pattern group of a subject to be learned for pattern conversion, said pattern presenting means dividing the input pattern group of the subject to be learned into a least two sets, selecting one of the divided sets, and presenting the input patterns belonging to all the sets presented up to the current point when an internal-state value to be converged is obtained in accordance with the input of said selected set;

    error value calculating mans for calculating an error value representing a magnitude of an inconsistency between an output pattern outputted from said pattern presenting means in accordance with the presented patterns and a teacher pattern representing a pattern designated by said output; and

    an internal-state value updating means for updating an internal-state value in accordance with an updated quantity of an internal-state value calculated based on the error value and obtaining an internal-state value having an error value within a specified allowance.

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