
Artificial Neural Networks - ICANN 2009
19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part II
Springer (Publisher)
Published on 3. September 2009
Book
Paperback/Softback
XXXIII, 1002 pages
978-3-642-04276-8 (ISBN)
Description
This volume is part of the two-volume proceedings of the 19th International Conf- ence on Artificial Neural Networks (ICANN 2009), which was held in Cyprus during September 14-17, 2009. The ICANN conference is an annual meeting sp- sored by the European Neural Network Society (ENNS), in cooperation with the - ternational Neural Network Society (INNS) and the Japanese Neural Network Society (JNNS). ICANN 2009 was technically sponsored by the IEEE Computational Intel- gence Society. This series of conferences has been held annually since 1991 in various European countries and covers the field of neurocomputing, learning systems and related areas. Artificial neural networks provide an information-processing structure inspired by biological nervous systems. They consist of a large number of highly interconnected processing elements, with the capability of learning by example. The field of artificial neural networks has evolved significantly in the last two decades, with active partici- tion from diverse fields, such as engineering, computer science, mathematics, artificial intelligence, system theory, biology, operations research, and neuroscience. Artificial neural networks have been widely applied for pattern recognition, control, optimization, image processing, classification, signal processing, etc.
More details
Series
Edition
2009 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Illustrations
XXXIII, 1002 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 56 mm
Weight
1539 gr
ISBN-13
978-3-642-04276-8 (9783642042768)
DOI
10.1007/978-3-642-04277-5
Schweitzer Classification
Content
Neuroinformatics and Bioinformatics.- Cognitive Machines.- Data Analysis and Pattern Recognition.- Signal and Time Series Processing.- Applications.- Neural Dynamics and Complex Systems.- Vision and Image Processing.- Neuro-Evolution and Hybrid Techniques for Mobile Agents Control.- Neural Control, Planning and Robotics Applications.- Intelligent Tools and Methods for Multimedia Annotation.- Critical Infrastructure Systems.