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The use of genetic algorithms in the optimization of competitive neural networks which resolve the stuck vectors problem (CROSBI ID 465644)

Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | međunarodna recenzija

Ilakovac, Tin ; Perković, Željka ; Ristov, Strahil The use of genetic algorithms in the optimization of competitive neural networks which resolve the stuck vectors problem // Proceedings of the first annual conference: Genetic Programming / Koza, John R ; Goldberg, David E ; Fogel, D.B et al. (ur.). Stanford University, 1996. str. 499-499-x

Podaci o odgovornosti

Ilakovac, Tin ; Perković, Željka ; Ristov, Strahil

engleski

The use of genetic algorithms in the optimization of competitive neural networks which resolve the stuck vectors problem

We show that for variable rates of mutation and crossover that depend on the global fitness of the population, and selection of reproduction pair that is asymmetric, solutions to problems with stringent constraints are found.

genetic algorithms; neural networks

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Podaci o prilogu

499-499-x.

1996.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of the first annual conference: Genetic Programming

Koza, John R ; Goldberg, David E ; Fogel, D.B ; Riolo, R.L.

Stanford University

Podaci o skupu

The first annual conference: Genetic Programming

poster

28.07.1996-31.07.1996

Stanford (CA), Sjedinjene Američke Države

Povezanost rada

Računarstvo