USING NEURAL NETWORK CONFIDENCE TO IMPROVE PREDICTION ACCURACY

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United States of America Patent

APP PUB NO 20110087627A1
SERIAL NO

12575497

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Abstract

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Systems and methods may be provided for generating a prediction using neural networks. The system and methods may include training a plurality of neural networks with training data, calculating an output value for each of the plurality of neural networks based at least in part on input evaluation points, applying a weight to each output value based at least in part on a confidence value for each of the plurality of neural networks; and generating an output result.

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Patent Owner(s)

Patent OwnerAddress
GENERAL ELECTRIC COMPANY1 RIVER ROAD SCHENECTADY NY 12345

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
David, Danni Maharashtra, IN 3 76
Schmid, James J Acworth, US 6 239

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