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Modeling and design of interdigital capacitor based on neural networks and genetic algorithm
Author(s) -
Chen R. S.,
Zhang X.,
Tsang K. F.,
Yung K. N.
Publication year - 2003
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/mop.11023
Subject(s) - finite difference time domain method , artificial neural network , microwave , genetic algorithm , capacitor , domain (mathematical analysis) , engineering , electronic engineering , time domain , algorithm , computer science , electrical engineering , artificial intelligence , machine learning , mathematics , telecommunications , physics , voltage , optics , mathematical analysis , computer vision
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