Physics
Scientific paper
Dec 2010
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010ge%26ae..50..894b&link_type=abstract
Geomagnetism and Aeronomy, Volume 50, Issue 7, pp.894-904
Physics
Scientific paper
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.
Barkhatov N. A.
Revunov S. E.
No associations
LandOfFree
Neural network classification of discontinuities in space plasma parameters does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Neural network classification of discontinuities in space plasma parameters, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Neural network classification of discontinuities in space plasma parameters will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1291226