Extended Data Fig. 1: The DNN architecture of the dynamic model that predicts future tearability. | Nature

Extended Data Fig. 1: The DNN architecture of the dynamic model that predicts future tearability.

From: Avoiding fusion plasma tearing instability with deep reinforcement learning

Extended Data Fig. 1: The DNN architecture of the dynamic model that predicts future tearability.The alt text for this image may have been generated using AI.

The inputs of the dynamic model are the 1-dimensional signals of the plasma state and the scalar signals of the proposed actuators. The outputs are the normalized plasma pressure (βN) and the tearability metric after 25 ms.

Back to article page