Modeling and design of interdigital capacitor based on neural networks and genetic algorithm

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

8 Scopus Citations
View graph of relations

Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)231-235
Journal / PublicationMicrowave and Optical Technology Letters
Volume38
Issue number3
Publication statusPublished - 5 Aug 2003

Abstract

In this paper, a novel approach is described to design an interdigital capacitor (IDC) using artificial neural networks (ANNs) and genetic algorithm (GA). The scattering parameters of the training samples are computed by the finite-difference time-domain (FDTD) and ANN is applied to describe the models of IDC. According to the engineering requirement, the dimensions of IDC can be designed with GA using the trained ANN models. This design procedure is proved to be time saving and of high accuracy.

Research Area(s)

  • Artificial neural networks, FDTD, Genetic algorithm, Interdigital capacitor