Detail publikace

Neural Network Training using Genetic Algorithm

GAŽAR, R.

Originální název

Neural Network Training using Genetic Algorithm

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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

Klíčová slova

neural network, genetic algorithm, training set, weight selection

Autoři

GAŽAR, R.

Rok RIV

2004

Vydáno

18. 6. 2004

Nakladatel

Faculty of Mechanical Engineering BUT

Místo

Brno

ISBN

80-214-2676-4

Kniha

Mendel 2004 10th Internacional Conference on Soft Computing

Strany od

161

Strany do

166

Strany počet

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"
}