Самоорганізаційна карта Кохонена (Ukrainian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Самоорганізаційна карта Кохонена" in Ukrainian language version.

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12doi.org

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3researchgate.net

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3sciencedirect.com

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2scholarpedia.org

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2archive.org

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2nih.gov

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2uni-marburg.de

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2harvard.edu

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2agu.org

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1aalto.fi

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1hut.fi

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1le.ac.uk

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1psu.edu

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1ieee.org

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1slideshare.net

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1github.com

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aalto.fi

users.ics.aalto.fi

Jaakko Hollmen (9 березня 1996). Self-Organizing Map (SOM). Aalto University.

agu.org

Liu, Yonggang; Weisberg, Robert H (2005). Patterns of Ocean Current Variability on the West Florida Shelf Using the Self-Organizing Map. Journal of Geophysical Research. 110 (C6): C06003. Bibcode:2005JGRC..110.6003L. doi:10.1029/2004JC002786. Архів оригіналу за 9 травня 2009. Процитовано 16 квітня 2019. [Архівовано 2009-05-09 у Wayback Machine.]
Liu, Yonggang; Weisberg, Robert H.; Mooers, Christopher N. K. (2006). Performance Evaluation of the Self-Organizing Map for Feature Extraction. Journal of Geophysical Research. 111 (C5): C05018. Bibcode:2006JGRC..111.5018L. doi:10.1029/2005jc003117. Архів оригіналу за 21 квітня 2009. Процитовано 16 квітня 2019. [Архівовано 2009-04-21 у Wayback Machine.]

archive.org

Kohonen, Teuvo (1982). Self-Organized Formation of Topologically Correct Feature Maps. Biological Cybernetics. 43 (1): 59—69. doi:10.1007/bf00337288.
Haykin, Simon (1999). 9. Self-organizing maps. Neural networks - A comprehensive foundation (вид. 2nd). Prentice-Hall. ISBN 978-0-13-908385-3.

arxiv.org

A. N. Gorban, A. Zinovyev, Principal manifolds and graphs in practice: from molecular biology to dynamical systems, International Journal of Neural Systems, Vol. 20, No. 3 (2010) 219—232.

doi.org

Kohonen, Teuvo (1982). Self-Organized Formation of Topologically Correct Feature Maps. Biological Cybernetics. 43 (1): 59—69. doi:10.1007/bf00337288.
Von der Malsburg, C (1973). Self-organization of orientation sensitive cells in the striate cortex. Kybernetik. 14 (2): 85—100. doi:10.1007/bf00288907. PMID 4786750.
Turing, Alan (1952). The chemical basis of morphogenesis. Phil. Trans. R. Soc. 237 (641): 37—72. doi:10.1098/rstb.1952.0012.
Akinduko, A.A.; Mirkes, E.M.; Gorban, A.N. (2016). SOM: Stochastic initialization versus principal components. Information Sciences. 364—365: 213—221. doi:10.1016/j.ins.2015.10.013.
Liu, Yonggang; Weisberg, Robert H (2005). Patterns of Ocean Current Variability on the West Florida Shelf Using the Self-Organizing Map. Journal of Geophysical Research. 110 (C6): C06003. Bibcode:2005JGRC..110.6003L. doi:10.1029/2004JC002786. Архів оригіналу за 9 травня 2009. Процитовано 16 квітня 2019. [Архівовано 2009-05-09 у Wayback Machine.]
Liu, Yonggang; Weisberg, Robert H.; Mooers, Christopher N. K. (2006). Performance Evaluation of the Self-Organizing Map for Feature Extraction. Journal of Geophysical Research. 111 (C5): C05018. Bibcode:2006JGRC..111.5018L. doi:10.1029/2005jc003117. Архів оригіналу за 21 квітня 2009. Процитовано 16 квітня 2019. [Архівовано 2009-04-21 у Wayback Machine.]
Shah-Hosseini, Hamed; Safabakhsh, Reza (April 2003). TASOM: A New Time Adaptive Self-Organizing Map. IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics. 33 (2): 271—282. doi:10.1109/tsmcb.2003.810442. PMID 18238177.
Shah-Hosseini, Hamed (May 2011). Binary Tree Time Adaptive Self-Organizing Map. Neurocomputing. 74 (11): 1823—1839. doi:10.1016/j.neucom.2010.07.037.
Liou, C.-Y.; Kuo, Y.-T. (2005). Conformal Self-organizing Map for a Genus Zero Manifold. The Visual Computer. 21 (5): 340—353. doi:10.1007/s00371-005-0290-6.
Liou, C.-Y.; Tai, W.-P. (2000). Conformality in the self-organization network. Artificial Intelligence. 116 (1–2): 265—286. doi:10.1016/S0004-3702(99)00093-4.
Taner, M. T.; Walls, J. D.; Smith, M.; Taylor, G.; Carr, M. B.; Dumas, D. (2001). Reservoir characterization by calibration of self-organized map clusters. SEG Technical Program Expanded Abstracts. 2001: 1552—1555. doi:10.1190/1.1816406.
Chang, Wui Lee; Pang, Lie Meng; Tay, Kai Meng (March 2017). Application of Self-Organizing Map to Failure Modes and Effects Analysis Methodology. Neurocomputing. PP: 314—320. doi:10.1016/j.neucom.2016.04.073.

github.com

ANNetGPGPU CUDA Library with examples [1] GPU accelerated image creation

harvard.edu

ui.adsabs.harvard.edu

Liu, Yonggang; Weisberg, Robert H (2005). Patterns of Ocean Current Variability on the West Florida Shelf Using the Self-Organizing Map. Journal of Geophysical Research. 110 (C6): C06003. Bibcode:2005JGRC..110.6003L. doi:10.1029/2004JC002786. Архів оригіналу за 9 травня 2009. Процитовано 16 квітня 2019. [Архівовано 2009-05-09 у Wayback Machine.]
Liu, Yonggang; Weisberg, Robert H.; Mooers, Christopher N. K. (2006). Performance Evaluation of the Self-Organizing Map for Feature Extraction. Journal of Geophysical Research. 111 (C5): C05018. Bibcode:2006JGRC..111.5018L. doi:10.1029/2005jc003117. Архів оригіналу за 21 квітня 2009. Процитовано 16 квітня 2019. [Архівовано 2009-04-21 у Wayback Machine.]

hut.fi

cis.hut.fi

Kohonen, Teuvo (2005). Intro to SOM. SOM Toolbox. Процитовано 18 червня 2006.

ieee.org

ieeexplore.ieee.org

Shah-Hosseini, Hamed; Safabakhsh, Reza (April 2003). TASOM: A New Time Adaptive Self-Organizing Map. IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics. 33 (2): 271—282. doi:10.1109/tsmcb.2003.810442. PMID 18238177.

intechopen.com

cdn.intechopen.com

Liu, Y., and R.H. Weisberg (2011) A review of self-organizing map applications in meteorology and oceanography. In: Self-Organizing Maps-Applications and Novel Algorithm Design, 253—272.

le.ac.uk

math.le.ac.uk

Principal Component Analysis and Self-Organizing Maps: applet, University of Leicester, 2011

nih.gov

pubmed.ncbi.nlm.nih.gov

Von der Malsburg, C (1973). Self-organization of orientation sensitive cells in the striate cortex. Kybernetik. 14 (2): 85—100. doi:10.1007/bf00288907. PMID 4786750.
Shah-Hosseini, Hamed; Safabakhsh, Reza (April 2003). TASOM: A New Time Adaptive Self-Organizing Map. IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics. 33 (2): 271—282. doi:10.1109/tsmcb.2003.810442. PMID 18238177.

psu.edu

citeseerx.ist.psu.edu

Heskes, Tom; Energy Functions for Self-Organizing Maps, in Oja, Erkki; and Kaski, Samuel (Eds.), Kohonen Maps, Elsevier, 1999

researchgate.net

Akinduko, A.A.; Mirkes, E.M.; Gorban, A.N. (2016). SOM: Stochastic initialization versus principal components. Information Sciences. 364—365: 213—221. doi:10.1016/j.ins.2015.10.013.
Yin, Hujun; Learning Nonlinear Principal Manifolds by Self-Organising Maps, in Gorban, Alexander N.; Kégl, Balázs; Wunsch, Donald C.; and Zinovyev, Andrei (Eds.); Principal Manifolds for Data Visualization and Dimension Reduction, Lecture Notes in Computer Science and Engineering (LNCSE), vol. 58, Berlin, Germany: Springer, 2008, ISBN 978-3-540-73749-0
Gorban, Alexander N.; Kégl, Balázs; Wunsch, Donald C.; and Zinovyev, Andrei (Eds.); Principal Manifolds for Data Visualization and Dimension Reduction, Lecture Notes in Computer Science and Engineering (LNCSE), vol. 58, Berlin, Germany: Springer, 2008, ISBN 978-3-540-73749-0

scholarpedia.org

Kohonen, Teuvo; Honkela, Timo (2007). Kohonen Network. Scholarpedia.
Kohonen, Teuvo; Honkela, Timo (2011). Kohonen network. Scholarpedia. Процитовано 24 вересня 2012.

sciencedirect.com

Shah-Hosseini, Hamed (May 2011). Binary Tree Time Adaptive Self-Organizing Map. Neurocomputing. 74 (11): 1823—1839. doi:10.1016/j.neucom.2010.07.037.
Liou, C.-Y.; Tai, W.-P. (2000). Conformality in the self-organization network. Artificial Intelligence. 116 (1–2): 265—286. doi:10.1016/S0004-3702(99)00093-4.
Chang, Wui Lee; Pang, Lie Meng; Tay, Kai Meng (March 2017). Application of Self-Organizing Map to Failure Modes and Effects Analysis Methodology. Neurocomputing. PP: 314—320. doi:10.1016/j.neucom.2016.04.073.

slideshare.net

Zheng, G. and Vaishnavi, V. (2011) "A Multidimensional Perceptual Map Approach to Project Prioritization and Selection, " AIS Transactions on Human-Computer Interaction (3) 2, pp. 82-103

uni-marburg.de

Ultsch, Alfred; Siemon, H. Peter (1990). Kohonen's Self Organizing Feature Maps for Exploratory Data Analysis. У Widrow, Bernard; Angeniol, Bernard (ред.). Proceedings of the International Neural Network Conference (INNC-90), Paris, France, July 9–13, 1990. Т. 1. Dordrecht, Netherlands: Kluwer. с. 305—308. ISBN 978-0-7923-0831-7. Архів оригіналу за 13 червня 2013.
Ultsch, Alfred (2003); U*-Matrix: A tool to visualize clusters in high dimensional data, Department of Computer Science, University of Marburg, Technical Report Nr. 36:1-12

web.archive.org

Ultsch, Alfred; Siemon, H. Peter (1990). Kohonen's Self Organizing Feature Maps for Exploratory Data Analysis. У Widrow, Bernard; Angeniol, Bernard (ред.). Proceedings of the International Neural Network Conference (INNC-90), Paris, France, July 9–13, 1990. Т. 1. Dordrecht, Netherlands: Kluwer. с. 305—308. ISBN 978-0-7923-0831-7. Архів оригіналу за 13 червня 2013.
Liu, Yonggang; Weisberg, Robert H (2005). Patterns of Ocean Current Variability on the West Florida Shelf Using the Self-Organizing Map. Journal of Geophysical Research. 110 (C6): C06003. Bibcode:2005JGRC..110.6003L. doi:10.1029/2004JC002786. Архів оригіналу за 9 травня 2009. Процитовано 16 квітня 2019. [Архівовано 2009-05-09 у Wayback Machine.]
Liu, Yonggang; Weisberg, Robert H.; Mooers, Christopher N. K. (2006). Performance Evaluation of the Self-Organizing Map for Feature Extraction. Journal of Geophysical Research. 111 (C5): C05018. Bibcode:2006JGRC..111.5018L. doi:10.1029/2005jc003117. Архів оригіналу за 21 квітня 2009. Процитовано 16 квітня 2019. [Архівовано 2009-04-21 у Wayback Machine.]