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Description
  • Neural networks are electronic systems which can be trained to remember behavior of a modeled structure in given operational points, and which can be used to approximate behavior of the structure out of the training points. These approximation abilities of neural nets are demonstrated on modeling a frequency-selective surface, a microstrip transmission line and a microstrip dipole. Attention is turned to the accuracy and to the efficiency of neural models. The association of neural models and genetic algorithms, which can provide a global design tool, is discussed. Portions of matlab code illustrate descriptions.
  • Neural networks are electronic systems which can be trained to remember behavior of a modeled structure in given operational points, and which can be used to approximate behavior of the structure out of the training points. These approximation abilities of neural nets are demonstrated on modeling a frequency-selective surface, a microstrip transmission line and a microstrip dipole. Attention is turned to the accuracy and to the efficiency of neural models. The association of neural models and genetic algorithms, which can provide a global design tool, is discussed. Portions of matlab code illustrate descriptions. (en)
Title
  • Modeling EM Structures in the Neural Network Toolbox of MATLAB
  • Modeling EM Structures in the Neural Network Toolbox of MATLAB (en)
skos:prefLabel
  • Modeling EM Structures in the Neural Network Toolbox of MATLAB
  • Modeling EM Structures in the Neural Network Toolbox of MATLAB (en)
skos:notation
  • RIV/00216305:26220/03:PU36495!RIV11-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/01/0571), P(GA102/01/0573), V, Z(MSM 262200011), Z(MSM 262200022)
http://linked.open...iv/cisloPeriodika
  • 6
http://linked.open...vai/riv/dodaniDat
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  • 615828
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  • RIV/00216305:26220/03:PU36495
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  • Feed-forward neural networks, genetic algorithms, planar transmission lines, frequency selective surfaces, microstrip antennas, modeling, optimization methods (en)
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http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [B229C2CB7CC8]
http://linked.open...i/riv/nazevZdroje
  • IEEE Antennas & Propagation Magazine
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  • 44
http://linked.open...iv/tvurceVysledku
  • Raida, Zbyněk
http://linked.open...n/vavai/riv/zamer
issn
  • 1045-9243
number of pages
http://localhost/t...ganizacniJednotka
  • 26220
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