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020			_a9783319285184
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050		4	_aQA76.87 _bA383 2016
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245	1	0	_aAdvances in Self-Organizing Maps and Learning Vector Quantization : _bProceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016 _cedited by Erzsébet Merényi, Michael J Mendenhall, Patrick O'Driscoll
250			_a1st ed.
260			_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XIII, 370 páginas) _b89 ilustraciones, 65 ilustraciones en color
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aAdvances in Intelligent Systems and Computing _x2194-5357 _v428
505	0		_aSelf-Organizing Map Learning, Visualization, and Quality Assessment -- Clustering and Time Series Analysis with Self-Organizing Maps and Neural Gas.-Applications in Control, Planning, and Dimensionality Reduction, and Hardware for Self-Organizing Maps -- Self-Organizing Maps in Neuroscience and Medical Applications -- Learning Vector Quantization Theories and Applications I -- Learning Vector Quantization Theories and Applications II.
520	3		_aThis book contains the articles from the international conference 11th Workshop on Self-Organizing Maps 2016 (WSOM 2016), held at Rice University in Houston, Texas, 6-8 January 2016. WSOM is a biennial international conference series starting with WSOM'97 in Helsinki, Finland, under the guidance and direction of Professor Tuevo Kohonen (Emeritus Professor, Academy of Finland). WSOM brings together the state-of-the-art theory and applications in Competitive Learning Neural Networks: SOMs, LVQs and related paradigms of unsupervised and supervised vector quantization. The current proceedings present the expert body of knowledge of 93 authors from 15 countries in 31 peer reviewed contributions. It includes papers and abstracts from the WSOM 2016 invited speakers representing leading researchers in the theory and real-world applications of Self-Organizing Maps and Learning Vector Quantization: Professor Marie Cottrell (Universite Paris 1 Pantheon Sorbonne, France), Professor Pablo Estevez (University of Chile and Millennium Instituteof Astrophysics, Chile), and Professor Risto Miikkulainen (University of Texas at Austin, USA). The book comprises a diverse set of theoretical works on Self-Organizing Maps, Neural Gas, Learning Vector Quantization and related topics, and an excellent variety of applications to data visualization, clustering, classification, language processing, robotic control, planning, and to the analysis of astronomical data, brain images, clinical data, time series, and agricultural data.
650	0	7	_9142214 _aSistemas autoorganizativos _2embne
700	1		_aMerényi, Erzsébet. _eeditor literario _998435 _0Local
700	1		_aMendenhall, Michael J. _eeditor literario _998436 _0Local
700	1		_aO'Driscoll, Patrick. _eeditor literario _998437 _0Local
710	2		_aSpringerLink (Online service) _0Local _9106996
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-28518-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319285184
907			_a.b12947416 _b10-10-17 _c21-11-16
942			_2lcc _cLE
945			_aQA76.87 A383 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11591006 _z06-04-17
988			_aEBOOK, asignarmaterias , EBSPRINGER
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