Publication detail

Genetic Algorithm for Training Artificial Neural Networks With Backpropagation

Petr Šmíd

Original Title

Genetic Algorithm for Training Artificial Neural Networks With Backpropagation

Type

conference paper

Language

English

Original 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 Networks, Genetic Algorithm

Authors

Petr Šmíd

RIV year

2005

Released

1. 4. 2005

Publisher

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

Pages from

637

Pages to

641

Pages count

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"
}