Result Details

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.
Type
conference paper
Language
English
Authors
Šmíd Petr, Ing., Ph.D.
Raida Zbyněk, prof. Dr. Ing., UREL (FEEC)
Abstract

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.

Keywords

Artificial Neural Network, Genetic Algorithm

Published
2005
Pages
4
Proceedings
15-th International Czech - Slovak Scientific Conference Radioelektronika 2005
Conference
RADIOELEKTRONIKA 2005
ISBN
80-214-2904-6
Publisher
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"
}
Departments
Department of Radio Electronics (UREL)
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