Patent Document ID: 8244649
Application ID: 12540738

Base Claim:
1. A method for training a control system using structured differential learning, the method comprising: analyzing, by a plurality of analyzing components, a set of features extracted from a set of input data; generating, by each analyzing component in the plurality of analyzing components, for each feature an output response regarding whether the each feature has an acceptable value associated therewith relative to a value of a parameter associated with the each analyzing component; associating a confidence score with the each output response; combining each output response and each confidence score into a single final output response and single final confidence score; and identifying, based at least on the confidence score, which analyzing component in the plurality of analyzing components is a strongest candidate for generating an incorrect final output response.

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Claim 3:
3. The method of claim 1 , further comprising: determining an alternative value for the parameter for the analyzing component that has been identified as the strongest candidate for generating an incorrect final output response, wherein the alternative value for the parameter changes the incorrect final output response to a correct final output response.