DocumentCode :
3542225
Title :
Design of metamaterials using artificial neural networks
Author :
Freitas, G.M.F. ; Rêgo, S.L. ; Vasconcelos, C. F L
Author_Institution :
Dept. de Eng. Eletr., Univ. Fed. do Rio Grande do Norte, Natal, Brazil
fYear :
2011
fDate :
Oct. 29 2011-Nov. 1 2011
Firstpage :
541
Lastpage :
545
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 (SRR) and continuous thin wires (TW). The medium exhibits simultaneously negative values of effective permeability (μeff) and permittivity (ϵeff) within a microwave frequency band, characterizing a metamaterial. An analysis using Artificial Neural Networks (ANN) is built 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.
Keywords :
metamaterials; neural nets; optical computing; permeability; permittivity; resonators; wires; artificial neural network; composite medium; continuous thin wires; development medium optimization; effective permeability; interspaced conducting nonmagnetic split ring resonators; metamaterial characterization; metamaterial geometrical dimension; metamaterials design; microwave frequency band; periodic array; permittivity; resonant frequency function; Arrays; Artificial neural networks; Magnetic materials; Metamaterials; Permeability; Permittivity; Resonant frequency; Metamaterials; artificial neural networks; split ring resonators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microwave & Optoelectronics Conference (IMOC), 2011 SBMO/IEEE MTT-S International
Conference_Location :
Natal
ISSN :
Pending
Print_ISBN :
978-1-4577-1662-1
Type :
conf
DOI :
10.1109/IMOC.2011.6169403
Filename :
6169403
Link To Document :
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