Overview
- Fast track conference proceeding
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6353)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Included in the following conference series:
Conference proceedings info: ICANN 2010.
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About this book
th This volume is part of the three-volume proceedings of the 20 International Conference on Arti?cial Neural Networks (ICANN 2010) that was held in Th- saloniki, Greece during September 15–18, 2010. ICANN is an annual meeting sponsored by the European Neural Network Society (ENNS) in cooperation with the International Neural Network So- ety (INNS) and the Japanese Neural Network Society (JNNS). This series of conferences has been held annually since 1991 in Europe, covering the ?eld of neurocomputing, learning systems and other related areas. As in the past 19 events, ICANN 2010 provided a distinguished, lively and interdisciplinary discussion forum for researches and scientists from around the globe. Ito?eredagoodchanceto discussthe latestadvancesofresearchandalso all the developments and applications in the area of Arti?cial Neural Networks (ANNs). ANNs provide an information processing structure inspired by biolo- cal nervous systems and they consist of a large number of highly interconnected processing elements (neurons). Each neuron is a simple processor with a limited computing capacity typically restricted to a rule for combining input signals (utilizing an activation function) in order to calculate the output one. Output signalsmaybesenttootherunitsalongconnectionsknownasweightsthatexcite or inhibit the signal being communicated. ANNs have the ability “to learn” by example (a large volume of cases) through several iterations without requiring a priori ?xed knowledge of the relationships between process parameters.
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Keywords
- Hidden Markov Model
- Markov Model
- Support Vector Machine
- algorithms
- artificial intelligence
- brain-computer interfaces
- classification
- computational neuroscience
- evolutionary algorithms
- genetic algorithms
- knowledge engineering
- machine learning
- recurrent neural netw
- robot vision
- visualization
- algorithm analysis and problem complexity
Table of contents (65 papers)
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Front Matter
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Kernel Algorithms – Support Vector Machines
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Recurrent ANN
Other volumes
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Artificial Neural Networks – ICANN 2010
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Artificial Neural Networks – ICANN 2010
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Artificial Neural Networks – ICANN 2010
Editors and Affiliations
Bibliographic Information
Book Title: Artificial Neural Networks - ICANN 2010
Book Subtitle: 20th International Conference, Thessaloniki, Greece, Septmeber 15-18, 2020, Proceedings, Part II
Editors: Konstantinos Diamantaras, Wlodek Duch, Lazaros S. Iliadis
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-15822-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2010
Softcover ISBN: 978-3-642-15821-6Published: 03 September 2010
eBook ISBN: 978-3-642-15822-3Published: 12 August 2010
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVI, 543
Number of Illustrations: 217 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