Overview
This book and its sister volumes constitute the Proceedings of the Third International Symposium on Neural Networks (ISNN 2006) held in Chengdu in southwestern China during May 28–31, 2006. After a successful ISNN 2004 in Dalian and ISNN 2005 in Chongqing, ISNN became a well-established series of conferences on neural computation in the region with growing popularity and improving quality. ISNN 2006 received 2472 submissions from authors in 43 countries and regions (mainland China, Hong Kong, Macao, Taiwan, South Korea, Japan, Singapore, Thailand, Malaysia, India, Pakistan, Iran, Qatar, Turkey, Greece, Romania, Lithuania, Slovakia, Poland, Finland, Norway, Sweden, Demark, Germany, France, Spain, Portugal, Belgium, Netherlands, UK, Ireland, Canada, USA, Mexico, Cuba, Venezuela, Brazil, Chile, Australia, New Zealand, South Africa, Nigeria, and Tunisia) across six continents (Asia, Europe, North America, South America, Africa, and Oceania). Based on rigorous reviews, 616 high-quality papers were selected for publication in the proceedings with the acceptance rate being less than 25%. The papers are organized in 27 cohesive sections covering all major topics of neural network research and development. In addition to the numerous contributed papers, ten distinguished scholars gave plenary speeches (Robert J. Marks II, Erkki Oja, Marios M. Polycarpou, Donald C. Wunsch II, Zongben Xu, and Bo Zhang) and tutorials (Walter J. Freeman, Derong Liu, Paul J. Werbos, and Jacek M. Zurada).
Full Product Details
Author: Jun Wang ,
Zhang Yi ,
Jacek M. Zurada ,
Bao-Liang Lu
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition: 2006 ed.
Volume: 3971
Weight: 2.392kg
ISBN: 9783540344391
ISBN 10: 354034439
Pages: 1444
Publication Date: 17 May 2006
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: Out of stock
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Reviews
From the reviews: It addresses the domain of artificial Intelligence (AI) and presents state-of-the-art research, development, and education in the field. ... a useful resource for scientists and educators interested in the field of NN systems ... . gives the reader a sense of the applications and challenges of the filed, and provides an extensive bibliography for further investigation. ... The collection offers a broad perspective on a topic that is widely discussed and underlines many of its applications. This makes it highly recommendable to the AI community. (M. Caramihai, Computing Reviews, December, 2006)
From the reviews: <p> It addresses the domain of artificial Intelligence (AI) and presents state-of-the-art research, development, and education in the field. a ] a useful resource for scientists and educators interested in the field of NN systems a ] . gives the reader a sense of the applications and challenges of the filed, and provides an extensive bibliography for further investigation. a ] The collection offers a broad perspective on a topic that is widely discussed and underlines many of its applications. This makes it highly recommendable to the AI community. (M. Caramihai, Computing Reviews, December, 2006)
From the reviews: It addresses the domain of artificial Intelligence (AI) and presents state-of-the-art research, development, and education in the field. a ] a useful resource for scientists and educators interested in the field of NN systems a ] . gives the reader a sense of the applications and challenges of the filed, and provides an extensive bibliography for further investigation. a ] The collection offers a broad perspective on a topic that is widely discussed and underlines many of its applications. This makes it highly recommendable to the AI community. (M. Caramihai, Computing Reviews, December, 2006)
