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Haptic-based artificial neural network training

  • US 9,218,565 B2
  • Filed: 06/19/2014
  • Issued: 12/22/2015
  • Est. Priority Date: 12/18/2013
  • Status: Expired due to Fees
First Claim
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1. A method for training an artificial neural network based algorithm designed to monitor a first device, the method comprising:

  • receiving a first data;

    determining, by one or more processors, a first service action recommendation for a first device using the received first data and an artificial neural network (ANN) algorithm;

    causing a second device to provide haptic feedback using the received first data;

    receiving a second service action recommendation for the first device based on the haptic feedback;

    determining, by the one or more processors, that the second service action recommendation is different than the first service action recommendation; and

    adjusting, by the one or more processors, at least one parameter of the ANN algorithm such that the ANN algorithm determines a third service action recommendation for the first device using the received first data, wherein the third service action recommendation is equivalent to the second service action recommendation.

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