The use of artificial neural network in the design of metamaterials

  • Authors:

  • Cristhianne F. L. Vasconcelos;Saulo L. Rêgo;Rossana M. S. Cruz

  • Affiliations:

  • Federal University of Rio Grande do Norte, Natal, RN, Brazil;Federal University of Rio Grande do Norte, Natal, RN, Brazil;Science and Technology of Paraiba, Federal Institute of Education, João Pessoa, PB, Brazil

  • Venue:
  • IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
  • Year:
  • 2012

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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.