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 …

Artificial neural networks (ANNs) are information processing systems, with their design
inspired by studies of the ability of the human brain to learn from observations and …

This paper proposes an advanced technique to develop combined neural network and pole-
residue-based transfer function models for parametric modeling of electromagnetic (EM) …

This article proposes a novel parametric modeling technique incorporating a joint
polynomial-transfer function with neural networks (short for neuro-PTF) for electromagnetic …

This paper presents a novel technique to develop combined neural network and transfer
function models for parametric modeling of passive components. In this technique, the …

This paper proposes a novel technique to develop a low-cost electromagnetic (EM) centric
multiphysics parametric model for microwave components. In the proposed method, we use …

This paper presents a novel sensitivity-analysis-based adjoint neural-network (SAANN)
technique to develop parametric models of microwave passive components. This technique …

This article proposes a novel training approach for parametric modeling of microwave
passive components with respect to changes in geometrical parameters using matrix Padé …

This paper outlines the early history of optimization technology for the design of microwave
circuits—a personal journey filled with aspirations, academic contributions, and commercial …

For the high-performance microwave component and system design, besides
electromagnetic (EM) physics domain, we also need to consider the operation of the real …