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D. Rastovic, “Targeting and Synchronization at Tokamak with Recurrent Artificial Neural Networks,” Neural Computing & Applications, Vol. 21, No. 5, 2012, pp. 1065-1069. doi:10.1007/s00521-011-0527-4

has been cited by the following article:

• TITLE: Simulation and Control of Turbulence at Tokamaks with Artificial Intelligence Methods

  AUTHORS: Danilo Rastovic

  KEYWORDS: Tokamak; Turbulence; Control; Artificial Intelligence; Drift Kinetic Equation

  JOURNAL NAME: Journal of Modern Physics, Vol.3 No.12, December 19, 2012

  ABSTRACT: The control of turbulence at tokamaks is very complex problem.The idea is to apply the fuzzy Markovian processes and fuzzy Brownian motions as good approximation of general robust drift kinetic equation. It is obtained by using the artificial neural networks for solving of appropriate advanced control problem. The proof of the appropriate theorem is shown.