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Adaptive network for automated first break picking of seismic refraction events and method of operating the same

  • US 5,742,740 A
  • Filed: 01/15/1993
  • Issued: 04/21/1998
  • Est. Priority Date: 09/20/1990
  • Status: Expired due to Term
First Claim
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1. A method of operating an adaptive network to set values of a plurality of weighting factors therein, comprising:

  • storing data representing a sample input and a desired output in memory;

    retrieving a portion of said stored data representing said sample input;

    operating the adaptive network, using the data retrieved in said retrieving step representing the sample input as a data input to the adaptive network, to produce an actual output;

    calculating a sample error, by determining the difference between the actual output of said adaptive network and the desired output;

    comparing the sample error to a tolerance limit;

    responsive to the result of the comparing step indicating that the sample error exceeds the tolerance limit, calculating a learning factor according to the value of the sample error, so that said learning factor increases as the sample error decreases;

    adjusting at least one of the plurality of weighting factors in said adaptive network by backpropagation according to the generalized delta rule, using the sample error and the learning factor;

    repeating the retrieving and presenting steps, and the step of calculating the sample error, until said comparing step indicates that the sample error does not exceed the tolerance limit.

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