Advances in Neural Networks – ISNN 2004 [electronic resource] : International Symposium on Neural Networks, Dalian, China, August 2004, Proceedings, Part I / edited by Fu-Liang Yin, Jun Wang, Chengan Guo.Material type: TextLanguage: English Series: Lecture Notes in Computer Science: 3173Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2004Description: LXX, 1044 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540286479Subject(s): Computer science | Computer Communication Networks | Computer software | Computational complexity | Artificial intelligence | Computer Science | Computation by Abstract Devices | Programming Techniques | Algorithm Analysis and Problem Complexity | Artificial Intelligence (incl. Robotics) | Computer Communication Networks | Discrete Mathematics in Computer ScienceAdditional physical formats: Printed edition:: No titleDDC classification: 004.0151 LOC classification: QA75.5-76.95Online resources: Click here to access online
Theoretical Analysis -- Learning and Optimization -- Support Vector Machines -- Blind Source Separation, Independent Component Analysis and Principal Component Analysis -- Clustering and Classification.
This book constitutes the proceedings of the International Symposium on Neural N- works (ISNN 2004) held in Dalian, Liaoning, China during August 19–21, 2004. ISNN 2004 received over 800 submissions from authors in ?ve continents (Asia, Europe, North America, South America, and Oceania), and 23 countries and regions (mainland China, Hong Kong, Taiwan, South Korea, Japan, Singapore, India, Iran, Israel, Turkey, H- gary, Poland, Germany, France, Belgium, Spain, UK, USA, Canada, Mexico, Venezuela, Chile, and Australia). Based on reviews, the Program Committee selected 329 hi- quality papers for presentation at ISNN 2004 and publication in the proceedings. The papers are organized into many topical sections under 11 major categories (theore- cal analysis; learning and optimization; support vector machines; blind source sepa- tion, independent component analysis, and principal component analysis; clustering and classi?cation; robotics and control; telecommunications; signal, image and time series processing; detection, diagnostics, and computer security; biomedical applications; and other applications) covering the whole spectrum of the recent neural network research and development. In addition to the numerous contributed papers, ?ve distinguished scholars were invited to give plenary speeches at ISNN 2004. ISNN 2004 was an inaugural event. It brought together a few hundred researchers, educators, scientists, and practitioners to the beautiful coastal city Dalian in northeastern China.