Publication Details

Neural Network Training using Genetic Algorithm

GAŽAR, R. Neural Network Training using Genetic Algorithm. Mendel 2004 10th Internacional Conference on Soft Computing. Brno: Faculty of Mechanical Engineering BUT, 2004. p. 161-166. ISBN: 80-214-2676-4.

Czech title

Učení neuronových sítí s využitím genetických algoritmů

Type

conference paper

Language

English

Authors

Gažar Roman, Mgr.

Keywords

neural network, genetic algorithm, training set, weight selection

Abstract

This paper deals with the aggregation of two well known computing paradigm - neural networks (NN) and genetic algorithms (GA). GA in NN area can be used for searching weight values, topology design, NN parameter settings and for selection and ordering of input and output vectors for training and testing set. We focused only on the weight searching by GA. The structure of NN is fixed and it is not changed throw all experiments. The feed-forward NN is used with one hidden layer and standard sigmoidal transfer function. We used standard genetic algorithm with external setting of its parameters

Published

2004

Pages

161–166

Proceedings

Mendel 2004 10th Internacional Conference on Soft Computing

ISBN

80-214-2676-4

Publisher

Faculty of Mechanical Engineering BUT

Place

Brno

BibTeX

@inproceedings{BUT17339,
  author="Roman {Gažar}",
  title="Neural Network Training using Genetic Algorithm",
  booktitle="Mendel 2004 10th Internacional Conference on Soft Computing",
  year="2004",
  pages="161--166",
  publisher="Faculty of Mechanical Engineering BUT",
  address="Brno",
  isbn="80-214-2676-4"
}