TY  - BOOK
AU  - Zhang,Liqing
AU  - Lu,Bao-Liang
AU  - Kwok,James
ED  - SpringerLink (Online service)
TI  - Advances in Neural Networks - ISNN 2010: 7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part I 
T2  - Lecture Notes in Computer Science,
SN  - 9783642132780
AV  - QA75.5-76.95 
U1  - 004.0151 23
PY  - 2010///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Computer science
KW  - Computer software
KW  - Database management
KW  - Artificial intelligence
KW  - Computer vision
KW  - Optical pattern recognition
KW  - Computer Science
KW  - Computation by Abstract Devices
KW  - Image Processing and Computer Vision
KW  - Pattern Recognition
KW  - Artificial Intelligence (incl. Robotics)
KW  - Algorithm Analysis and Problem Complexity
KW  - Database Management
N1  - Neurophysiological Foundation -- Theory and Models -- Learning and Inference -- Neurodynamics
N2  - This book and its sister volume collect refereed papers presented at the 7th Inter- tional Symposium on Neural Networks (ISNN 2010), held in Shanghai, China, June 6-9, 2010. Building on the success of the previous six successive ISNN symposiums, ISNN has become a well-established series of popular and high-quality conferences on neural computation and its applications. ISNN aims at providing a platform for scientists, researchers, engineers, as well as students to gather together to present and discuss the latest progresses in neural networks, and applications in diverse areas. Nowadays, the field of neural networks has been fostered far beyond the traditional artificial neural networks. This year, ISNN 2010 received 591 submissions from more than 40 countries and regions. Based on rigorous reviews, 170 papers were selected for publication in the proceedings. The papers collected in the proceedings cover a broad spectrum of fields, ranging from neurophysiological experiments, neural modeling to extensions and applications of neural networks. We have organized the papers into two volumes based on their topics. The first volume, entitled “Advances in Neural Networks- ISNN 2010, Part 1,” covers the following topics: neurophysiological foundation, theory and models, learning and inference, neurodynamics. The second volume en- tled “Advance in Neural Networks ISNN 2010, Part 2” covers the following five topics: SVM and kernel methods, vision and image, data mining and text analysis, BCI and brain imaging, and applications
UR  - http://dx.doi.org/10.1007/978-3-642-13278-0
ER  -