Neural Networks Applications to Nuclear Fusion

It is well known that, every time a task that must be performed repeatedly or certain conditions of a system have to be dynamically controlled, neural networks can be trained to execute the processes more rapidly and with more efficiency. Thus, it can be foreseen that the operation of the future nuclear fusion reactors will profit tremendously from the use of neural networks to perform different tasks, which ranges from simple data analysis, to forecasting abrupt plasma events (like the dangerous major disruptions), which will help maintain the reactor integrity. In this article, the most important applications of artificial neural networks that were already proposed to study the magnetic plasma confinement, towards the thermonuclear fusion using tokamaks, is presented. Special attention is given to the process of major disruption predictions.

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