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Fractional Fokker-Planck equations and artificial neural networks for stochastic control of tokamak (CROSBI ID 134482)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Rastović, Danilo
Fractional Fokker-Planck equations and artificial neural networks for stochastic control of tokamak // Journal of fusion energy, 27 (2008), 3; 182-187. doi: 10.1007/s10894-007-9127-9
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Rastović, Danilo
engleski
Fractional Fokker-Planck equations and artificial neural networks for stochastic control of tokamak
The general form of description of Kolmogorov-Arnold-Moser ( KAM ) theorem in controlled plasma fusion , is obtained via the theory of artificial fuzzy neural networks. Without of the global maximum entropy principle , the complexity function is used for the Monte Carlo simulations .
KAM theory; tokamak; stochastic control
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