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Nuclear fusion is an alternative source of energy, but physically and technically difficult to carry out. The present report describes the attempt to solve these difficulties using the experimental tokamak TEXTOR. The use of neuronal nets which enable the capture of readings was examined in the case of capturing the temperature of ions from spectra of charge exchange and secondly of the tomographic reconstruction of emission spread from bolometric data.

In the first case the use was compared to other processes. The use of neuronal nets offers numeric stability and quick temperature results but inaccurate readings. The ad-hoc process has the same qualities and is easier to carry out. In the second case a process was developed to calculate reconstructions with a higher poloidal solution by using a method known from neuronal nets, which enables calculation of inversion functions. .

Additional information

Authors: WIENBECK J, Forschungszentrum Jülich GmbH, Institut für Plasmaphysik (DE)
Bibliographic Reference: Report: Jül-3376 DE (1997) 75pp.
Availability: Available from Forschungszentrum Jülich GmbH, Zentralbibliothek, 52425 Jülich (DE)
ISBN: ISSN 0944-2952
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