Conference paper

GAŽAR Roman. Neural Network Training using Genetic Algorithm. In: Mendel 2004 10th Internacional Conference on Soft Computing. Brno: Faculty of Mechanical Engineering BUT, 2004, pp. 161-166. ISBN 80-214-2676-4.
Publication language:english
Original title:Neural Network Training using Genetic Algorithm
Title (cs):Učení neuronových sítí s využitím genetických algoritmů
Pages:161-166
Proceedings:Mendel 2004 10th Internacional Conference on Soft Computing
Conference:Tenth International Mendel Conference on Soft Computing
Place:Brno, CZ
Year:2004
ISBN:80-214-2676-4
Publisher:Faculty of Mechanical Engineering BUT
Keywords
neural network, genetic algorithm, training set, weight selection
Annotation
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
BibTeX:
@INPROCEEDINGS{
   author = {Roman Ga{\v{z}}ar},
   title = {Neural Network Training using Genetic Algorithm},
   pages = {161--166},
   booktitle = {Mendel 2004 10th Internacional Conference on Soft Computing},
   year = {2004},
   location = {Brno, CZ},
   publisher = {Faculty of Mechanical Engineering BUT},
   ISBN = {80-214-2676-4},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=7522}
}

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