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

✍ Scribed by R. S. Chen; X. Zhang; K. F. Tsang; K. N. Yung

Publisher
John Wiley and Sons
Year
2003
Tongue
English
Weight
102 KB
Volume
38
Category
Article
ISSN
0895-2477

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✦ Synopsis

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. © 2003 Wiley Periodicals, Inc. Microwave Opt Technol Lett 38: 231–235, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.11023

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