INTEROPERABILITY PREDICTOR USING MACHINE LEARNING AND REPOSITORY OF TX, CHANNEL, AND RX MODELS FROM MULTIPLE VENDORS
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
Patent Agency Ranking
0/0