Artificial Neural Networks - ICANN 2009

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 1417, 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.

Klappentext

This two volume set LNCS 5768 and LNCS 5769 constitutes the refereed proceedings of the 19th International Conference on Artificial Neural Networks, ICANN 2009, held in Limassol, Cyprus, in September 2009.

The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The second volume is divided in topical sections on neuroinformatics and bioinformatics; cognitive machines; data analysis and pattern recognition; signal and time series processing; 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; and critical infrastructure systems.

Inhalt
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.