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Advances in Neural Networks - ISNN 2009

160,49 €*

Sofort verfügbar, Lieferzeit: 1-3 Tage

Produktnummer: 18b8d87c1da9394ffda1b574e2cd89089b
Themengebiete: Bayesian network agent-based modeling algorithmic learning artificial immune system artificial intelligence artificial neural networks biomedical applications classification cognitive networks component analysis
Veröffentlichungsdatum: 07.05.2009
EAN: 9783642015090
Sprache: Englisch
Seitenzahl: 1207
Produktart: Kassette / Medienmix z.B. Audio und Buch
Herausgeber: He, Haibo Yu, Wen Zhang, Nian
Verlag: Springer Berlin
Untertitel: 6th International Symposium on Neural Networks, ISNN 2009 Wuhan, China, May 26-29, 2009 Proceedings, Part II
Produktinformationen "Advances in Neural Networks - ISNN 2009"
This book and its companion volumes, LNCS vols. 5551, 5552 and 5553, constitute the proceedings of the 6th International Symposium on Neural Networks (ISNN 2009), held during May 26–29, 2009 in Wuhan, China. Over the past few years, ISNN has matured into a well-established premier international symposium on neural n- works and related fields, with a successful sequence of ISNN symposia held in Dalian (2004), Chongqing (2005), Chengdu (2006), Nanjing (2007), and Beijing (2008). Following the tradition of the ISNN series, ISNN 2009 provided a high-level inter- tional forum for scientists, engineers, and educators to present state-of-the-art research in neural networks and related fields, and also to discuss with international colleagues on the major opportunities and challenges for future neural network research. Over the past decades, the neural network community has witnessed tremendous - forts and developments in all aspects of neural network research, including theoretical foundations, architectures and network organizations, modeling and simulation, - pirical study, as well as a wide range of applications across different domains. The recent developments of science and technology, including neuroscience, computer science, cognitive science, nano-technologies and engineering design, among others, have provided significant new understandings and technological solutions to move the neural network research toward the development of complex, large-scale, and n- worked brain-like intelligent systems. This long-term goal can only be achieved with the continuous efforts of the community to seriously investigate different issues of the neural networks and related fields.

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