Self-organizing maps to understand geology – kadobykerodo.ga
February Learn how and when to remove this template message. This section possibly contains original research. Please improve it by verifying the claims made and adding inline citations. Statements consisting only of original research should be removed. Normalization would be necessary to train the SOM. Biological Cybernetics. Peter In Widrow, Bernard; Angeniol, Bernard eds. Dordrecht, Netherlands: Kluwer. Archived from the original on In Ritter, H.
Bielefeld, Germany: Neuroinformatics Group. Aalto University. Self-organizing maps". Neural networks - A comprehensive foundation 2nd ed. SOM Toolbox. Retrieved Kohonen, Self-Organization and Associative Memory. Springer, Berlin, Ciampi, Y. Lechevallier, Clustering large, multi-level data sets: An approach based on Kohonen self organizing maps, in D.
Zighed, J. Komorowski, J. Zytkow Eds. Information Sciences. IEEE, Journal of Geophysical Research.
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Bibcode : JGRC.. Acta Polytechnica Scandinavica. Espoo, Finland: Finnish Academy of Technology. Gorban, A. Zinovyev, Principal manifolds and graphs in practice: from molecular biology to dynamical systems , International Journal of Neural Systems , Vol. The Visual Computer.
Artificial Intelligence. Image and geometry processing with Oriented and Scalable Map. Neural Networks, 77, pp. Weisberg A review of self-organizing map applications in meteorology and oceanography. PP : — Categories : Artificial neural networks Dimension reduction Cluster analysis algorithms Finnish inventions Unsupervised learning. Hidden categories: CS1 errors: deprecated parameters CS1: long volume value Articles needing cleanup from June All pages needing cleanup Cleanup tagged articles without a reason field from June Wikipedia pages needing cleanup from June Articles needing additional references from February All articles needing additional references Articles that may contain original research from June All articles that may contain original research Commons category link from Wikidata.
Application to Handwritten Character Recognition. Visualization by Linear Projections as Information Retrieval. A Comparative Study.
A Critical and Systematic Study. Analytic Comparison of SelfOrganising Maps.
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Modeling the Bilingual Lexicon of an Individual Subject. Sanna M. Savolainen, Minna L. Hannuksela, Mika Ala-Korpela.
The interplay between lipoprotein phenotypes, adiponectin, and alcohol consumption. Annals of Medicine , 44 , Functional annotation of the mesophilic-like character of mutants in a cold-adapted enzyme by self-organising map analysis of their molecular dynamics. Molecular BioSystems , 8 10 , Conformational and functional analysis of molecular dynamics trajectories by Self-Organising Maps. BMC Bioinformatics , 12 1 , Quality-oriented optimization of wave soldering process by using self-organizing maps.
Applied Soft Computing , 11 1 , Linda S. Kumpula, Sanna M. Liinamaa, Kimmo Kaski, Markku J. Characterization of metabolic interrelationships and in silico phenotyping of lipoprotein particles using self-organizing maps. Journal of Lipid Research , 51 2 , Liukkonen, E. Havia, H. Leinonen, Y.
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Application of self-organizing maps in analysis of wave soldering process. Expert Systems with Applications , 36 3 , Multiscale modeling of emergent materials: biological and soft matter. Physical Chemistry Chemical Physics , 11 12 , Makinen, C. Forsblom, L. Thorn, J. Waden, D. Gordin, O. Heikkila, K. Hietala, L. Kyllonen, J. Kyto, M.
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