Neural networks for turbulent transport prediction in a simplified model of tokamak plasmas
L M Pomârjanschi
Abstract:The method of using neural networks (NNs) for turbulent transport prediction in a simplified model of tokamak plasmas is explored. The NNs are trained on a database obtained via test-particle simulations of a transport model in the slab-geometrical approximation. It consists of a five-dimensional input of transport model parameters and the radial diffusion coefficient as output. The NNs display fast and efficient convergence, a validation error below 2%, and predictions in excellent agreement with the real dat… Show more
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