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 .