Sergey Vishnyakov
ABSTRACT
The paper describes a concept of the intellectual system for the microwave devices adjustment. The adjustment process involves trained personnel and special, relatively expensive equipment. The use of the intellectual adjustment system may decrease cost of the mass production of the sophisticated microwave devices (narrowband filters, diplexers etc.). The analytic model which combines lumped elements filter model and approximation of the numerically modeled tuning elements is used to synthesize data sets for the artificial neural network training. The architecture of the artificial neural network is proposed to obtain a decision making procedure for the automated filter adjustment. The results (numerical and experimental) are discussed.
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