Artificial Neural Networks and Machine Learning -- ICANN 2013 (original) (raw)

Overview

Editors:

• Petia Koprinkova-Hristova1,
• Günther Palm2,
• Alessandro E. P. Villa3,
• Bruno Appollini4,
• …
• Nikola Kasabov5

1. Valeri Mladenov
   1. Faculty Automation,, Technical University of Sofia, Sofia, Bulgaria
2. Petia Koprinkova-Hristova
   1. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria
3. Günther Palm
   1. Institute of Neural Information Processing, University of Ulm, Ulm, Germany
4. Alessandro E. P. Villa
   1. Quartier UNIL-Dorigny, Bâtiment Internef, Université de Lausanne, Lausanne, Switzerland
5. Bruno Appollini
   1. Department of Computer Science, University of Milano, Milano, Italy
6. Nikola Kasabov
   1. Knowledge Engineering, School of Computing and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand

• Fast track conference proceedings of ICANN 2013

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About this book

The book constitutes the proceedings of the 23rd International Conference on Artificial Neural Networks, ICANN 2013, held in Sofia, Bulgaria, in September 2013. The 78 papers included in the proceedings were carefully reviewed and selected from 128 submissions. The focus of the papers is on following topics: neurofinance graphical network models, brain machine interfaces, evolutionary neural networks, neurodynamics, complex systems, neuroinformatics, neuroengineering, hybrid systems, computational biology, neural hardware, bioinspired embedded systems, and collective intelligence.

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Table of contents (78 papers)

1. Neural Network Theory and Models

2. Machine Learning and Learning Algorithms

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1. Artificial Neural Networks and Machine Learning -- ICANN 2013

Editors and Affiliations

• Faculty Automation,, Technical University of Sofia, Sofia, Bulgaria

Valeri Mladenov

• Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria

Petia Koprinkova-Hristova

• Institute of Neural Information Processing, University of Ulm, Ulm, Germany

Günther Palm

• Quartier UNIL-Dorigny, Bâtiment Internef, Université de Lausanne, Lausanne, Switzerland

Alessandro E. P. Villa

• Department of Computer Science, University of Milano, Milano, Italy

Bruno Appollini

• Knowledge Engineering, School of Computing and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand

Nikola Kasabov

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Bibliographic Information

• Book Title: Artificial Neural Networks and Machine Learning -- ICANN 2013
• Book Subtitle: 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013, Proceedings
• Editors: Valeri Mladenov, Petia Koprinkova-Hristova, Günther Palm, Alessandro E. P. Villa, Bruno Appollini, Nikola Kasabov
• Series Title: Lecture Notes in Computer Science
• DOI: https://doi.org/10.1007/978-3-642-40728-4
• Publisher: Springer Berlin, Heidelberg
• eBook Packages: Computer Science, Computer Science (R0), Springer Nature Proceedings Computer Science
• Copyright Information: Springer-Verlag Berlin Heidelberg 2013
• Softcover ISBN: 978-3-642-40727-7Published: 21 August 2013
• eBook ISBN: 978-3-642-40728-4Published: 04 September 2013
• Series ISSN: 0302-9743
• Series E-ISSN: 1611-3349
• Edition Number: 1
• Number of Pages: XVIII, 643
• Number of Illustrations: 231 b/w illustrations
• Topics: Artificial Intelligence, Computation by Abstract Devices, Algorithm Analysis and Problem Complexity, Pattern Recognition, Information Systems Applications (incl. Internet), Image Processing and Computer Vision

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