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Detail publikace
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
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" }