Wang / Shen / Huang The Sixth International Symposium on Neural Networks (ISNN 2009)

1. Auflage 2009
ISBN: 978-3-642-01216-7
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 56, 904 Seiten, eBook

Reihe: Advances in Intelligent and Soft Computing

This volume of Advances in Soft Computing and Lecture Notes in Computer th Science vols. 5551, 5552 and 5553, constitute the Proceedings of the 6 Inter- tional Symposium of Neural Networks (ISNN 2009) held in Wuhan, China during May 26–29, 2009. ISNN is a prestigious annual symposium on neural networks with past events held in Dalian (2004), Chongqing (2005), Chengdu (2006), N- jing (2007) and Beijing (2008). Over the past few years, ISNN has matured into a well-established series of international conference on neural networks and their applications to other fields. Following this tradition, ISNN 2009 provided an a- demic forum for the participants to disseminate their new research findings and discuss emerging areas of research. Also, it created a stimulating environment for the participants to interact and exchange information on future research challenges and opportunities of neural networks and their applications. ISNN 2009 received 1,235 submissions from about 2,459 authors in 29 co- tries and regions (Australia, Brazil, Canada, China, Democratic People's Republic of Korea, Finland, Germany, Hong Kong, Hungary, India, Islamic Republic of Iran, Japan, Jordan, Macao, Malaysia, Mexico, Norway, Qatar, Republic of Korea, Singapore, Spain, Taiwan, Thailand, Tunisia, United Kingdom, United States, Venezuela, Vietnam, and Yemen) across six continents (Asia, Europe, North America, South America, Africa, and Oceania). Based on rigorous reviews by the Program Committee members and reviewers, 95 high-quality papers were selected to be published in this volume.

Zielgruppe

Research

Autoren/Hrsg.

Wang, Hongwei

Shen, Yi

Huang, Tingwen

Zeng, Zhigang

Inhaltsverzeichnis

Session 1: Theoretical Analysis.- Session 2: Machine Learning.- Session 3: Support Vector Machines and Kernel Methods.- Session 4: Pattern Recognition.- Session 5: Intelligent Modelling and Control.- Session 6: Optimization and Genetic Algorithms.- Session 7: Telecommunication and Transportation Systems.- Sesson 8: Applications.