Neural network classification of discontinuities in space plasma parameters |
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Authors: | N A Barkhatov S E Revunov |
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Institution: | (1) KFKI Research Institute for Particle and Nuclear Physics, H-1525 Budapest, 49, Hungary;(2) CESR, 9, Avenue du Colonel ROCHE, 31028 TOULOUSE CEDEX 4, France |
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Abstract: | The artificial neural network technique is applied to dividing discontinuities in space plasma and magnetic field parameters
into classes corresponding to known types of magnetohydrodynamic discontinuities. Parameter discontinuities registered on
the WIND spacecraft between 1996 and 1999 are classified using a network of the Kohonen Layer type. An algorithm for determining
the orientation of discontinuity surfaces on the basis of one-dimensional observations of solar wind parameter discontinuities
on board spacecraft is proposed. |
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Keywords: | |
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