Patent ID: 9342793
Filing Date: 2016-05-17
CPC Classification: G06N

Claim Text:
1. A method comprising: accessing a set of target output data and a set of combined input data, the set of combined input data comprising a subset of predetermined input data, and a subset of interpolated input data; receiving the set of combined input data in a self-learning network hosted on a self-learning host machine; applying a set of weights to the set of combined input data; revising the set of weights in view of a difference between an output generated by the self-learning network and the set of target output data; determining that the self-learning network generates successive outputs that converge to the set of target output data in response to an application of the set of weights, as revised; and training, by a processor and in view of the determining, the self-learning network to generate the set of target output data in conjunction with the set of weights, as revised.