Design Models for Electric Coupling Probe in Combline Resonators Using Neural Network

신경망을 이용한 Combline 공진기 내의 전계결합 프로브 설계 모델

  • 김병욱 (포항공과대학교 전자전기공학과) ;
  • 김영수 (포항공과대학교 전자전기공학과)
  • Published : 2002.11.01


Two artificial neural networks (ANN) are used to model the electric coupling probe in the combline resonators. One is used to analyze and synthesize the electric probe, and the other is used to correct errors between the results of the analysis and the synthesis ANNs and the fabrication results. The ANNs for the analysis and the synthesis of the electric probe are trained using the physical dimensions of the electric probe and the corresponding coupling bandwidth which is obtained using the finite element method. The ANNs for the error correction are trained using a very small set of the measurement results. Once trained, the ANN models provide the correct result approaching the accuracy of the measurement. The results from the ANN models show fairly good agreement with those of the measurement and they can be used as good initial design values.