Creating neural network based microwave circuit models for analysis and synthesis

We have previously developed a process to synthesize microwave circuits with a neural network learning process. In this paper we describe a systematic approach to convert conventional circuit models into neural network models for our reverse modeling process. The development of an HBT amplifier model and its applications are demonstrated.

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