Invention Application
- Patent Title: ANOMALY DETECTION IN CYBER-PHYSICAL SYSTEMS
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Application No.: US17465054Application Date: 2021-09-02
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Publication No.: US20220067535A1Publication Date: 2022-03-03
- Inventor: LuAn Tang , Wei Cheng , Haifeng Chen , Yuji Kobayashi
- Applicant: NEC Laboratories America, Inc. , NEC Corporation
- Applicant Address: US NJ Princeton; JP Tokyo
- Assignee: NEC Laboratories America, Inc.,NEC Corporation
- Current Assignee: NEC Laboratories America, Inc.,NEC Corporation
- Current Assignee Address: US NJ Princeton; JP Tokyo
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/04

Abstract:
Methods and systems for training and deploying a neural network mode include training a modular encoder model using training data collected from heterogeneous system types. The modular encoder model includes layers of neural network blocks and a selectively enabled connections between neural network blocks of adjacent layers. Each neural network block includes neural network layers. The modular encoder model is deployed to a system corresponding to one of the heterogeneous system types.
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