Abstract
This paper presents an analysis of the resonant characteristics of a composite medium based on a periodic array of interspaced conducting nonmagnetic split ring resonators and continuous thin wires. The medium exhibits simultaneously negative values of effective permeability and permittivity within a microwave frequency band, characterizing a metamaterial. An analysis using Artificial Neural Networks is performed to obtain the permeability and permittivity as a function of resonant frequencies for a given geometrical dimensions of the metamaterial, for an optimization of the development medium.
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© 2012 Springer-Verlag Berlin Heidelberg
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Vasconcelos, C.F.L., Rêgo, S.L., Cruz, R.M.S. (2012). The Use of Artificial Neural Network in the Design of Metamaterials. In: Yin, H., Costa, J.A.F., Barreto, G. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2012. IDEAL 2012. Lecture Notes in Computer Science, vol 7435. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32639-4_65
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DOI: https://doi.org/10.1007/978-3-642-32639-4_65
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32638-7
Online ISBN: 978-3-642-32639-4
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