Fr. 239.00

Advances in Neural Network Research and Applications

Inglese · Copertina rigida

Spedizione di solito entro 6 a 7 settimane

Descrizione

Ulteriori informazioni

This book is a part of the Proceedings of the Seventh International Symposium on Neural Networks (ISNN 2010), held on June 6-9, 2010 in Shanghai, China. Over the past few years, ISNN has matured into a well-established premier international symposium on neural networks and related fields, with a successful sequence of ISNN series in Dalian (2004), Chongqing (2005), Chengdu (2006), Nanjing (2007), Beijing (2008), and Wuhan (2009). Following the tradition of ISNN series, ISNN 2010 provided a high-level international forum for scientists, engineers, and educators to present the state-of-the-art research in neural networks and related fields, and also discuss the major opportunities and challenges of future neural network research. Over the past decades, the neural network community has witnessed significant breakthroughs and developments from all aspects of neural network research, including theoretical foundations, architectures, and network organizations, modeling and simulation, empirical studies, 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, has provided significant new understandings and technological solutions to move the neural network research toward the development of complex, large scale, and networked brain-like intelligent systems. This long-term goals can only be achieved with the continuous efforts from the community to seriously investigate various issues on neural networks and related topics.

Sommario

Prediction and Forecasting.- Fuzzy Neural Networks.- Optimization and Planning.- Pattern Recognition.- Signal and Image Processing.- Robotics and Control.- Transportation Systems.- Industrial Applications.- Real-World Applications.

Riassunto

This book is a part of the Proceedings of the Seventh International Symposium on Neural Networks (ISNN 2010), held on June 6-9, 2010 in Shanghai, China. Over the past few years, ISNN has matured into a well-established premier international symposium on neural networks and related fields, with a successful sequence of ISNN series in Dalian (2004), Chongqing (2005), Chengdu (2006), Nanjing (2007), Beijing (2008), and Wuhan (2009). Following the tradition of ISNN series, ISNN 2010 provided a high-level international forum for scientists, engineers, and educators to present the state-of-the-art research in neural networks and related fields, and also discuss the major opportunities and challenges of future neural network research. Over the past decades, the neural network community has witnessed significant breakthroughs and developments from all aspects of neural network research, including theoretical foundations, architectures, and network organizations, modeling and simulation, empirical studies, 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, has provided significant new understandings and technological solutions to move the neural network research toward the development of complex, large scale, and networked brain-like intelligent systems. This long-term goals can only be achieved with the continuous efforts from the community to seriously investigate various issues on neural networks and related topics.

Dettagli sul prodotto

Con la collaborazione di Wang (Editore), Wang (Editore), Jun Wang (Editore), Zhigan Zeng (Editore), Zhigang Zeng (Editore)
Editore Springer, Berlin
 
Lingue Inglese
Formato Copertina rigida
Pubblicazione 08.06.2010
 
EAN 9783642129896
ISBN 978-3-642-12989-6
Pagine 936
Dimensioni 169 mm x 36 mm x 243 mm
Peso 1694 g
Illustrazioni XXVI, 936 p.
Serie Lecture Notes in Electrical Engineering
Lecture Notes in Electrical Engineering
Categorie Scienze naturali, medicina, informatica, tecnica > Tecnica > Elettronica, elettrotecnica, telecomunicazioni

B, Künstliche Intelligenz, Regelungstechnik, Robotics, Artificial Intelligence, engineering, Control and Systems Theory, Computational Intelligence, Power electronics, Electrical Power Engineering, Power Electronics, Electrical Machines and Networks, Control engineering, Automatic control engineering

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