Abstract
this paper describes an improvement of the self-organizing feature map (SOFM) obtained with the Kohonen neural network. The ameliorations are dedicated to its usage in computer graphics and mainly in animation of particle-based systems. We show its application in the context of the visualization of molecular dynamic systems. Comparison with other works based on particle systems is then made. Finally, we propose some possible extensions to this work.
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© 1996 Springer-Verlag/Wien
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Balmelli, L. (1996). Adaptive sampling for very large particle systems using an incremental self-organizing feature map: an application in molecular dynamic. In: Boulic, R., Hégron, G. (eds) Computer Animation and Simulation ’96. Eurographics. Springer, Vienna. https://doi.org/10.1007/978-3-7091-7486-9_2
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DOI: https://doi.org/10.1007/978-3-7091-7486-9_2
Publisher Name: Springer, Vienna
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