Invention Grant
- Patent Title: HTM-based predictions for system behavior management
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Application No.: US16773264Application Date: 2020-01-27
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Publication No.: US11314212B2Publication Date: 2022-04-26
- Inventor: Awadesh Tiwari
- Applicant: Kyndryl, Inc.
- Applicant Address: US NY New York
- Assignee: Kyndryl, Inc.
- Current Assignee: Kyndryl, Inc.
- Current Assignee Address: US NY New York
- Agency: Garg Law Firm, PLLC
- Agent Rakesh Garg; Erik Swanson
- Main IPC: G05B13/04
- IPC: G05B13/04 ; G05B23/02

Abstract:
An embodiment includes duplicating an input dataset being input to a model predictive control (MPC) module for input to a first Hierarchical Temporal Memory (HTM) network. The embodiment also includes generating system behavior data using the MPC module for characteristic data of the input dataset. The embodiment also includes generating first HTM prediction data from the input dataset and the system behavior data using the first HTM network, the first HTM prediction data comprising predictions for respective dimensions of the system. The embodiment also includes generating second HTM prediction data from the first HTM prediction data and system output data using a second HTM network, the second HTM prediction data comprising a distinction between the first HTM prediction and the system output data. Finally, the embodiment includes determining that the distinction of the second HTM prediction data indicates an anomaly and adjusting system input data based on the anomaly.
Public/Granted literature
- US20210232105A1 HTM-BASED PREDICTIONS FOR SYSTEM BEHAVIOR MANAGEMENT Public/Granted day:2021-07-29
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