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Advances in self-organizing maps and learning vector quantization [electronic resource] : Proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016

Advances in self-organizing maps and learning vector quantization [electronic resource] : Proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016

Material type
E-Book(소장)
Personal Author
Merényi, Erzsébet. Mendenhall, Michael J. O'Driscoll, Patrick.
Title Statement
Advances in self-organizing maps and learning vector quantization [electronic resource] : Proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016 / Erzsébet Merényi, Michael J. Mendenhall, Patrick O'Driscoll, editors.
Publication, Distribution, etc
Cham :   Springer International Publishing :   Imprint: Springer,   c2016.  
Physical Medium
1 online resource (xiii, 370 p.) : ill. (some col.).
Series Statement
Advances in intelligent systems and computing,2194-5357, 2194-5365 (electronic) ; 428
ISBN
9783319285184
요약
This 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.
General Note
Title from e-Book title page.  
Content Notes
Self-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.
Bibliography, Etc. Note
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
Subject Added Entry-Topical Term
Engineering. Neural networks (Computer science) --Congresses. Self-organizing maps --Congresses. Self-organizing systems --Congresses.
Short cut
URL
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020 ▼a 9783319285184
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111 2 ▼a Workshop on Self-Organizing Maps ▼n (11th : ▼d 2016 : ▼c Houston, Tex.).
245 1 0 ▼a Advances in self-organizing maps and learning vector quantization ▼h [electronic resource] : ▼b Proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016 / ▼c Erzsébet Merényi, Michael J. Mendenhall, Patrick O'Driscoll, editors.
260 ▼a Cham : ▼b Springer International Publishing : ▼b Imprint: Springer, ▼c c2016.
300 ▼a 1 online resource (xiii, 370 p.) : ▼b ill. (some col.).
490 1 ▼a Advances in intelligent systems and computing, ▼x 2194-5357, ▼x 2194-5365 (electronic) ; ▼v 428
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
505 0 ▼a Self-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 ▼a This 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.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Engineering.
650 0 ▼a Neural networks (Computer science) ▼v Congresses.
650 0 ▼a Self-organizing maps ▼v Congresses.
650 0 ▼a Self-organizing systems ▼v Congresses.
700 1 ▼a Merényi, Erzsébet.
700 1 ▼a Mendenhall, Michael J.
700 1 ▼a O'Driscoll, Patrick.
830 0 ▼a Advances in intelligent systems and computing; ▼v 428.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-319-28518-4
945 ▼a KLPA
991 ▼a E-Book(소장)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/e-Book Collection/ Call Number CR 006.32 Accession No. E14021405 Availability Loan can not(reference room) Due Date Make a Reservation Service M

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