Development of a neural network technique for KSTAR Thomson scattering diagnostics.

Abstract

Neural networks provide powerful approaches of dealing with nonlinear data and have been successfully applied to fusion plasma diagnostics and control systems. Controlling tokamak plasmas in real time is essential to measure the plasma parameters in situ. However, the χ2 method traditionally used in Thomson scattering diagnostics hampers real-time… (More)

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Cite this paper

@article{Lee2016DevelopmentOA, title={Development of a neural network technique for KSTAR Thomson scattering diagnostics.}, author={Seung Hun Lee and J H Lee and Ichihiro Yamada and Jae Sun Park}, journal={The Review of scientific instruments}, year={2016}, volume={87 11}, pages={11E533} }