Publication detail

Neural Network Training using Genetic Algorithm

GAŽAR, R.

Original Title

Neural Network Training using Genetic Algorithm

Type

article in a collection out of WoS and Scopus

Language

English

Original 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

Keywords

neural network, genetic algorithm, training set, weight selection

Authors

GAŽAR, R.

RIV year

2004

Released

18. 6. 2004

Publisher

Faculty of Mechanical Engineering BUT

Location

Brno

ISBN

80-214-2676-4

Book

Mendel 2004 10th Internacional Conference on Soft Computing

Pages from

161

Pages to

166

Pages count

6

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"
}