Detail publikace

Genetic Algorithm for Training Artificial Neural Networks With Backpropagation

Petr Šmíd

Originální název

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 Networks, Genetic Algorithm

Autoři

Petr Šmíd

Rok RIV

2005

Vydáno

1. 4. 2005

Nakladatel

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií a Fakulta informačních technologií

Strany od

637

Strany do

641

Strany počet

5

BibTex

@inproceedings{BUT14763,
  author="Petr {Šmíd}",
  title="Genetic Algorithm for Training Artificial Neural Networks With Backpropagation",
  booktitle="STUDENT EEICT 2005 - Proceedings of the 11-th conference",
  year="2005",
  pages="5",
  publisher="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií a Fakulta informačních technologií"
}