Invention Grant
- Patent Title: Haptic-based artificial neural network training
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Application No.: US14936971Application Date: 2015-11-10
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Publication No.: US09530092B2Publication Date: 2016-12-27
- Inventor: Aveek N. Chatterjee , Siddique M. Adoni , Dhandapani Shanmugam
- 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
- Agent Edward J. Wixted, III
- Main IPC: G06F15/18
- IPC: G06F15/18 ; G06N3/08 ; G06F3/01

Abstract:
In a method for training an artificial neural network based algorithm designed to monitor a first device, a processor receives a first data. A processor determines a first service action recommendation for a first device using the received first data and an artificial neural network (ANN) algorithm. A processor causes a second device to provide haptic feedback using the received first data. A processor receives a second service action recommendation for the first device based on the haptic feedback. A processor adjusts 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.
Public/Granted literature
- US20160063373A1 HAPTIC-BASED ARTIFICIAL NEURAL NETWORK TRAINING Public/Granted day:2016-03-03
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