Detail publikace

Neural Model of Dipole Antenna – Genetic Algorithm for Training Artificial Neural Networks with Backpropagation

Petr Šmíd, Zbyněk Raida

Originální název

Neural Model of Dipole Antenna – Genetic Algorithm for Training Artificial Neural Networks with Backpropagation

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The paper deals with training the neural models of microwave structures. The first, an artificial neural network (ANN) is trained with basic genetic algorithm (GA). Training abilities are discussed. Further, the modification of GA and an approach to learning artificial neural networks (ANN) with backpropagation is described. Neural networks are implemented in MATLAB. Results of training abilities are compared. Finally, some ideas for improving the training process are mentioned.

Klíčová slova

Artificial Neural Network, Genetic Algorithm

Autoři

Petr Šmíd, Zbyněk Raida

Rok RIV

2005

Vydáno

1. 1. 2005

Nakladatel

BUT, FEEC, Institute or Radio Electronics

ISBN

80-214-2904-6

Kniha

15-th International Czech - Slovak Scientific Conference Radioelektronika 2005

Strany od

227

Strany do

230

Strany počet

4

BibTex

@inproceedings{BUT14759,
  author="Petr {Šmíd} and Zbyněk {Raida}",
  title="Neural Model of Dipole Antenna – Genetic Algorithm for Training Artificial Neural Networks with Backpropagation",
  booktitle="15-th International Czech - Slovak Scientific Conference Radioelektronika 2005",
  year="2005",
  pages="4",
  publisher="BUT, FEEC, Institute or Radio Electronics",
  isbn="80-214-2904-6"
}