Advances in Neural Networks - ISNN 2007

Advances in Neural Networks - ISNN 2007

Author: Derong Liu

Publisher: Springer

Published: 2007-07-14

Total Pages: 1390

ISBN-13: 3540723838

DOWNLOAD EBOOK

This book is part of a three volume set that constitutes the refereed proceedings of the 4th International Symposium on Neural Networks, ISNN 2007, held in Nanjing, China in June 2007. Coverage includes neural networks for control applications, robotics, data mining and feature extraction, chaos and synchronization, support vector machines, fault diagnosis/detection, image/video processing, and applications of neural networks.


Advances in Neural Network Research and Applications

Advances in Neural Network Research and Applications

Author: Zhigang Zeng

Publisher: Springer Science & Business Media

Published: 2010-05-10

Total Pages: 921

ISBN-13: 3642129900

DOWNLOAD EBOOK

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.


Advances in Neural Networks - ISNN 2017

Advances in Neural Networks - ISNN 2017

Author: Fengyu Cong

Publisher: Springer

Published: 2017-06-12

Total Pages: 601

ISBN-13: 3319590723

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 14th International Symposium on Neural Networks, ISNN 2017, held in Sapporo, Hakodate, and Muroran, Hokkaido, Japan, in June 2017. The 135 revised full papers presented in this two-volume set were carefully reviewed and selected from 259 submissions. The papers cover topics like perception, emotion and development, action and motor control, attractor and associative memory, neurodynamics, complex systems, and chaos.


Advances in Neural Networks - ISNN 2009

Advances in Neural Networks - ISNN 2009

Author: Wen Yu

Publisher: Springer

Published: 2009-05-21

Total Pages: 1278

ISBN-13: 3642015131

DOWNLOAD EBOOK

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.


Advances in Neural Information Processing Systems 19

Advances in Neural Information Processing Systems 19

Author: Bernhard Schölkopf

Publisher: MIT Press

Published: 2007

Total Pages: 1668

ISBN-13: 0262195682

DOWNLOAD EBOOK

The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation and machine learning. This volume contains the papers presented at the December 2006 meeting, held in Vancouver.


Advances in Neural Networks - ISNN 2007

Advances in Neural Networks - ISNN 2007

Author: Derong Liu

Publisher: Springer

Published: 2007-07-14

Total Pages: 1346

ISBN-13: 3540723935

DOWNLOAD EBOOK

This book is part of a three volume set that constitutes the refereed proceedings of the 4th International Symposium on Neural Networks, ISNN 2007, held in Nanjing, China in June 2007. Coverage includes neural networks for control applications, robotics, data mining and feature extraction, chaos and synchronization, support vector machines, fault diagnosis/detection, image/video processing, and applications of neural networks.


Neural Networks for Pattern Recognition

Neural Networks for Pattern Recognition

Author: Christopher M. Bishop

Publisher: Oxford University Press

Published: 1995-11-23

Total Pages: 501

ISBN-13: 0198538642

DOWNLOAD EBOOK

Statistical pattern recognition; Probability density estimation; Single-layer networks; The multi-layer perceptron; Radial basis functions; Error functions; Parameter optimization algorithms; Pre-processing and feature extraction; Learning and generalization; Bayesian techniques; Appendix; References; Index.


Advances in Neural Networks - ISNN 2006

Advances in Neural Networks - ISNN 2006

Author: Jun Wang

Publisher: Springer Science & Business Media

Published: 2006-05-12

Total Pages: 1470

ISBN-13: 3540344373

DOWNLOAD EBOOK

This is Volume II of a three volume set constituting the refereed proceedings of the Third International Symposium on Neural Networks, ISNN 2006. 616 revised papers are organized in topical sections on neurobiological analysis, theoretical analysis, neurodynamic optimization, learning algorithms, model design, kernel methods, data preprocessing, pattern classification, computer vision, image and signal processing, system modeling, robotic systems, transportation systems, communication networks, information security, fault detection, financial analysis, bioinformatics, biomedical and industrial applications, and more.