Detail publikace

Genetic Algorithm and Neural Network

ŠŤASTNÝ, J. ŠKORPIL, V.

Originální název

Genetic Algorithm and Neural Network

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

This paper describes application of Genetic algorithm (GA) for design of network configuration and for learning of neural network. Design of network configuration is the first area for GA exercise in relation to neural network. The number of neurons in network and placement to the layers has big influence over effectivity of whole system. If we are able to formulate quality classification of designed network from standpoint of topology, we can use GA for design of suitable network configuration. The second area (learning of neural network) consists in using of advantages of GA toward learning of neural networks. In this case GA looks for acceptable setting of network weights so, to make specified transformation - it practices minimalization of its mistake function. The Genetic algorithm is considered to be a stochastic heuristic (or meta-heuristic) method. Genetic algorithms are inspired by adaptive and evolutionary mechanisms of live organisms. The best use of Genetic algorithm can be found in solving multidimensional optimisation problems, for which analytical solutions are unknown (or extremely complex) and efficient numerical methods are also not known.

Klíčová slova

Genetic algorithm, fitness function, neural network, back-propagation method.

Autoři

ŠŤASTNÝ, J.; ŠKORPIL, V.

Rok RIV

2007

Vydáno

24. 8. 2007

Nakladatel

WSEAS

Místo

Athény

ISSN

1790-5117

Periodikum

WSEAS Applied Informatics & Communications

Ročník

2007

Číslo

3

Stát

Řecká republika

Strany od

347

Strany do

351

Strany počet

5

BibTex

@article{BUT44959,
  author="Jiří {Šťastný} and Vladislav {Škorpil}",
  title="Genetic Algorithm and Neural Network",
  journal="WSEAS Applied Informatics & Communications",
  year="2007",
  volume="2007",
  number="3",
  pages="347--351",
  issn="1790-5117"
}