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Investigation of Stabilities and Instabilities at Tokamak Plasma Behaviour and Machine Learning with Big Data


Affiliations
1 Control Systems Group, Cetingradska, 10110 Zagreb, Croatia
 

We investigate the problem of stability and instability at tokamak plasma behaviour. Generally, Jaynes maximum entropy method and Bayesian decision can be applied for recognizing the shape of the plasma. In the case of the power law behaviour and the instabilities of plasma we introduce a new method. The maximization of mathematical expectations for events and fuzzy entropy is used for applications of fuzzy Bayesian neural networks for optimization and simulation without assumption on recurrence. In this case, it is possible to consider also the non-Gibbsian probability distribution functions with the power law case. The new calibration method for the non-equilibrium systems has been given.

Keywords

Stability, Instability, Tokamak, Bayesian Learning.
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  • Investigation of Stabilities and Instabilities at Tokamak Plasma Behaviour and Machine Learning with Big Data

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Authors

D. Rastovic
Control Systems Group, Cetingradska, 10110 Zagreb, Croatia

Abstract


We investigate the problem of stability and instability at tokamak plasma behaviour. Generally, Jaynes maximum entropy method and Bayesian decision can be applied for recognizing the shape of the plasma. In the case of the power law behaviour and the instabilities of plasma we introduce a new method. The maximization of mathematical expectations for events and fuzzy entropy is used for applications of fuzzy Bayesian neural networks for optimization and simulation without assumption on recurrence. In this case, it is possible to consider also the non-Gibbsian probability distribution functions with the power law case. The new calibration method for the non-equilibrium systems has been given.

Keywords


Stability, Instability, Tokamak, Bayesian Learning.

References