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Neural network tool for rapid recovery of plasma topology

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2 Author(s)
Tribaldos, V. ; Asociación EURATOM-CIEMAT para Fusión, 28040 Madrid, Spain ; van Milligen, B.Ph.

Your organization might have access to this article on the publisher's site. To check, click on this link:http://dx.doi.org/+10.1063/1.1147774 

A general method for the rapid recovery of plasma topology based on a neural network fit of the normalized magnetic flux is presented. We propose a general method for coordinate inversions that is based on a neural network fit of the normalized magnetic flux. The neural network provides a flexible and compact base for representing the plasma topology and allows the evaluation of spatial derivatives by analytic methods (as opposed to finite-difference methods), making it faster than other techniques. We present examples of this technique for both two-dimensional plasmas (tokamak D shaped, X point) and stellarators. © 1997 American Institute of Physics.

Published in:

Review of Scientific Instruments  (Volume:68 ,  Issue: 1 )