Artificial Neural Networks - ICANN 2010
20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part III
Editors: Diamantaras, Konstantinos, Duch, Wlodek, Iliadis, Lazaros (Eds.)
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- About this book
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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.
- Table of contents (78 chapters)
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Deep Bottleneck Classifiers in Supervised Dimension Reduction
Pages 1-10
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Local Modeling Classifier for Microarray Gene-Expression Data
Pages 11-20
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Learning of Lateral Connections for Representational Invariant Recognition
Pages 21-30
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Computational Properties of Probabilistic Neural Networks
Pages 31-40
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Local Minima of a Quadratic Binary Functional with a Quasi-Hebbian Connection Matrix
Pages 41-51
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Table of contents (78 chapters)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Artificial Neural Networks - ICANN 2010
- Book Subtitle
- 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part III
- Editors
-
- Konstantinos Diamantaras
- Wlodek Duch
- Lazaros Iliadis
- Series Title
- Theoretical Computer Science and General Issues
- Series Volume
- 6354
- Copyright
- 2010
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-642-15825-4
- DOI
- 10.1007/978-3-642-15825-4
- Softcover ISBN
- 978-3-642-15824-7
- Edition Number
- 1
- Number of Pages
- XVII, 575
- Number of Illustrations
- 213 b/w illustrations
- Topics
