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Neuromodeling stop band properties of Koch Island patch elements for FSS filter design
Author(s) -
Cruz R. M. S.,
da F. Silva P. H.,
d'Assunção A. G.
Publication year - 2009
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.24795
Subject(s) - microwave , tunable metamaterials , multi band device , electronic engineering , koch snowflake , fractal , engineering , ku band , bandwidth (computing) , artificial neural network , parametric statistics , multilayer perceptron , acoustics , computer science , electrical engineering , optics , antenna (radio) , physics , metamaterial , telecommunications , mathematics , artificial intelligence , mathematical analysis , statistics
Abstract This work investigates the use of Koch Island patch elements to design frequency selective surface (FSS) band stop filters that reflect X‐ or Ku‐band signals. To control the FSS resonant frequency and −10 dB bandwidth, we modify the shape of Koch Island patch elements adjusting the fractal parameters, iteration factor, and iteration number. The electromagnetic (EM) behavior is described as a function of the element shapes and the permittivity of the dielectric substrate. A FSS parametric analysis is accomplished through the use of the Ansoft Designer™ software. The obtained EM‐data is utilized for training a multilayer perceptrons (MLP) artificial neural network to achieve the FSS modeling task. Experimental and simulated results are obtained to validate the developed MLP model. © 2009 Wiley Periodicals, Inc. Microwave Opt Technol Lett 51: 3014–3019, 2009; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.24795