Invention Publication
- Patent Title: INTEROPERABILITY PREDICTOR USING MACHINE LEARNING AND REPOSITORY OF TX, CHANNEL, AND RX MODELS FROM MULTIPLE VENDORS
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Application No.: US18514800Application Date: 2023-11-20
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Publication No.: US20240168471A1Publication Date: 2024-05-23
- Inventor: Kan Tan , John J. Pickerd , Sam J. Strickling
- Applicant: Tektronix, Inc.
- Applicant Address: US OR Beaverton
- Assignee: Tektronix, Inc.
- Current Assignee: Tektronix, Inc.
- Current Assignee Address: US OR Beaverton
- Main IPC: G05B23/02
- IPC: G05B23/02
Abstract:
A test system includes a repository of component models containing characteristic parameters for each component model, one or more processors to receive a list of selected component models through a user interface to be tested as a combination, access the characteristic parameters for each selected component model, build a tensor image using the characteristic parameters, send the tensor image to one or more trained neural networks to predict interoperability of the combination, and receive a prediction about the combination. A method includes receiving a list of selected component models through a user interface to be tested as a combination, accessing characteristic parameters for the selected component models, building a tensor image for each combination of the selected component models, sending the tensor image to one or more trained neural networks to predict interoperability of the combination, and receiving a prediction about the combination.
Information query
