
Advances in Neural Networks - ISNN 2008
5th International Composium on Neural Networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings, Part II
Springer (Publisher)
Published on 8. September 2008
Book
Paperback/Softback
XXXI, 846 pages
978-3-540-87733-2 (ISBN)
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Description
The two volume set LNCS 5263/5264 constitutes the refereed proceedings of the 5th International Symposium on Neural Networks, ISNN 2008, held in Beijing, China in September 2008. The 192 revised papers presented were carefully reviewed and selected from a total of 522 submissions. The papers are organized in topical sections on computational neuroscience; cognitive science; mathematical modeling of neural systems; stability and nonlinear analysis; feedforward and fuzzy neural networks; probabilistic methods; supervised learning; unsupervised learning; support vector machine and kernel methods; hybrid optimisation algorithms; machine learning and data mining; intelligent control and robotics; pattern recognition; audio image processinc and computer vision; fault diagnosis; applications and implementations; applications of neural networks in electronic engineering; cellular neural networks and advanced control with neural networks; nature inspired methods of high-dimensional discrete data analysis; pattern recognition and information processing using neural networks.
More details
Series
Edition
2008 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
XXXI, 846 p.
Dimensions
Height: 23.5 cm
Width: 15.5 cm
ISBN-13
978-3-540-87733-2 (9783540877332)
DOI
10.1007/978-3-540-87734-9
Schweitzer Classification
Content
Machine Learning and Data Mining.- Intelligent Control and Robotics.- Pattern Recognition.- Audio, Image Processing and Computer Vision.- Fault Diagnosis.- Other Applications and Implementations.- Applications of Neural Networks in Electronic Engineering.- Cellular Neural Networks and Advanced Control with Neural Networks.- Nature Inspired Methods of High-dimensional Discrete Data Analysis.- Pattern Recognition and Information Processing Using Neural Networks.