NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM, ESTIMATION METHOD, LEARNED MODEL, AND METHOD OF GENERATING LEARNED MODEL

Abstract: a non-transitory computer-readable recording medium having stored therein a program causes a computer to execute a process. the process includes acquiring first information related to a linear circuit having a plurality of ports for receiving or outputting a high frequency signal, and second information related to a frequency of the high frequency signal, estimating, when the second information indicates that the frequency is 0 hz, an s-parameter for two ports of the plurality of ports when the frequency is 0 hz, from the first information based on a first learned model, and estimating, when the second information indicates that the frequency is other than 0 hz, an s-parameter at the frequency from the first information and the second information, based on a second learned model. the first and the second learned models are generated by performing machine learning on plural pieces of first training data and second training data, respectively.

Inventor(s): Takeshi KAWASAKI

CPC Classification: G06F30/337 (ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models ))

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