Detail výsledku

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

Petr Šmíd, Zbyněk Raida. Neural Model of Dipole Antenna – Genetic Algorithm for Training Artificial Neural Networks with Backpropagation. In 15-th International Czech - Slovak Scientific Conference Radioelektronika 2005. BUT, FEEC, Institute or Radio Electronics, 2005. 4 p. ISBN: 80-214-2904-6.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Šmíd Petr, Ing., Ph.D.
Raida Zbyněk, prof. Dr. Ing., UREL (FEKT)
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

Rok
2005
Strany
4
Sborník
15-th International Czech - Slovak Scientific Conference Radioelektronika 2005
Konference
RADIOELEKTRONIKA 2005
ISBN
80-214-2904-6
Vydavatel
BUT, FEEC, Institute or Radio Electronics
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"
}
Pracoviště
Ústav radioelektroniky (UREL)
Nahoru