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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
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" }