A Tuning Method for Triple-Stub Tuner using Knowledge-Based Surrogate Model

In this paper, a novel tuning process is proposed for tuning triple-stub waveguide tuner. This processing is based on knowledge-based data-driven surrogate modeling technique. Tuning decision is made according to the calculation from the surrogate model. By applying the tuning method to these tested examples, all tested results demonstrate great reflection coefficient performance and low time cost.

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