M. Camplani, B. Cannas, A. Fanni, et al., “Tracking of the Plasma States in a Nuclear Fusion Device Using SOMs,” Neural Computing & Applications, Vol. 43, 2009, pp. 430-437.
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.