Detail publikace

A Reverse Neural Model of a General Planar Transmission Line

RAIDA, Z.

Originální název

A Reverse Neural Model of a General Planar Transmission Line

Typ

kapitola v knize

Jazyk

angličtina

Originální abstrakt

In the paper, an original exploration of neural networks for the design of planar microwave transmission lines is discussed. Since no analytical models of these transmission lines are at the disposal, an accurate finite-element analysis of a certain number of selected structures is performed and obtained results are used as learning patterns for training a neural network. In order to obtain a design tool, inputs of the network are associated with technical parameters of the transmission line, and outputs correspond to its physical parameters. Training of the network is based on a novel genetic algorithm, which ensures low error and good convergence of the learning process. Validity of the model is verified using previously published data.

Klíčová slova v angličtině

Back-propagation network, finite-element target, genetic learning

Autoři

RAIDA, Z.

Rok RIV

2000

Vydáno

1. 8. 2000

Nakladatel

Physica-Verlag (A Springer-Verlag Company)

Místo

Košice (Slovakia)

ISBN

37-908-1322-2

Kniha

The State of the Art in Computational Intelligence

Edice

Advances in Soft Computing

Strany od

203

Strany do

208

Strany počet

6

BibTex

@inbook{BUT54990,
  author="Zbyněk {Raida}",
  title="A Reverse Neural Model of a General Planar Transmission Line",
  booktitle="The State of the Art in Computational Intelligence",
  year="2000",
  publisher="Physica-Verlag (A Springer-Verlag Company)",
  address="Košice (Slovakia)",
  series="Advances in Soft Computing",
  pages="6",
  isbn="37-908-1322-2"
}