Artificial Neural Networks for Microwave Computer-Aided Design: The State of the Art

• Published in: IEEE transactions on microwave theory and techniques Vol. 70; no. 11; pp. 4597 - 4619
• Main Authors: Feng, Feng, Na, Weicong, Jin, Jing, Zhang, Jianan, Zhang, Wei, Zhang, Qi-Jun
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.11.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Artificial neural networks; Artificial neural networks (ANNs); CAD; Circuit design; Computer aided design; Deep learning; deep neural network; Design optimization; Filter design (mathematics); Gallium nitrides; High electron mobility transistors; Integrated circuit modeling; inverse modeling; knowledge-based neural network (KBNN); Large scale integration; Microelectromechanical systems; Microwave circuits; microwave computer-aided design (CAD); Microwave integrated circuits; Microwave theory and techniques; Modelling; Neural networks; neuro-transfer function (neuro-TF); Passive components; Recurrent neural networks; Semiconductor devices; Solid modeling; Substrate integrated waveguides; Transfer functions; Very large scale integration; Wireless power transmission

This article presents an overview of artificial neural network (ANN) techniques for a microwave computer-aided design (CAD). ANN-based techniques are becoming useful for performing forward/inverse modeling for active/passive components to enhance a circuit design. With measured or simulated data of...