Invention Grant
- Patent Title: Neural network classification
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Application No.: US15611065Application Date: 2017-06-01
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Publication No.: US10713783B2Publication Date: 2020-07-14
- Inventor: Hiroki Nakano , Masaharu Sakamoto
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: North Shore Patents, P.C.
- Agent Michele Liu Baillie
- Main IPC: G01N33/48
- IPC: G01N33/48 ; G01N33/50 ; G06T7/00 ; G06N3/08 ; G06K9/62 ; G06K9/46 ; G16H50/70 ; G06N3/04 ; G16H30/40

Abstract:
Neural network classification may be performed by inputting a training data set into each of a plurality of first neural networks, the training data set including a plurality of samples, obtaining a plurality of output value sets from the plurality of first neural networks, each output value set including a plurality of output values corresponding to one of the plurality of samples, each output value being output from a corresponding first neural network in response to the inputting of one of the samples of the training data set, inputting the plurality of output value sets into a second neural network, and training the second neural network to output an expected result corresponding to each sample in response to the inputting of a corresponding output value set.
Public/Granted literature
- US20180350065A1 NEURAL NETWORK CLASSIFICATION Public/Granted day:2018-12-06
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