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Advances in Neural Networks -- ISNN 2010

Advances in Neural Networks -- ISNN 2010
Author: Bao-Liang Lu
Publisher: Springer Science & Business Media
Total Pages: 787
Release: 2010-05-21
Genre: Computers
ISBN: 3642132774

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This book and its sister volume constitutes the proceedings of the 7th International Symposium on Neural Networks, ISNN 2010, held in Shanghai, China, June 6-9, 2010. The 170 revised full papers of Part I and Part II were carefully selected from 591 submissions and focus on topics such as Neurophysiological Foundation, Theory and Models, Learning and Inference, and Neurodynamics. The second volume, Part II (LNCS 6064) covers the following 5 topics: SVM and Kernel Methods, Vision and Image, Data Mining and Text Analysis, BCI and Brain Imaging, and applications.


Advances in Neural Networks -- ISNN 2010

Advances in Neural Networks -- ISNN 2010
Author: James Kwok
Publisher: Springer Science & Business Media
Total Pages: 670
Release: 2010-05-20
Genre: Computers
ISBN: 3642133177

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This book and its sister volume constitute the proceedings of the 7th International Symposium on Neural Networks, ISNN 2010, held in Shanghai, China, June 6-9, 2010. The 170 revised full papers of Part I and Part II were carefully selected from 591 submissions and focus on topics such as SVM and Kernel Methods, Vision and Image, Data Mining and Text Analysis, BCI and Brain Imaging and its applications. The first volume, Part I (LNCS 6063) covers the following topics: Neuropysiological Foundation, Theory and Models, Learning and Inference, and Nerodynamics.


Advances in Neural Networks -- ISNN 2010

Advances in Neural Networks -- ISNN 2010
Author: James Kwok
Publisher: Springer
Total Pages: 787
Release: 2010-05-30
Genre: Computers
ISBN: 3642132782

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This book and its sister volume collect refereed papers presented at the 7th Inter- tional Symposium on Neural Networks (ISNN 2010), held in Shanghai, China, June 6-9, 2010. Building on the success of the previous six successive ISNN symposiums, ISNN has become a well-established series of popular and high-quality conferences on neural computation and its applications. ISNN aims at providing a platform for scientists, researchers, engineers, as well as students to gather together to present and discuss the latest progresses in neural networks, and applications in diverse areas. Nowadays, the field of neural networks has been fostered far beyond the traditional artificial neural networks. This year, ISNN 2010 received 591 submissions from more than 40 countries and regions. Based on rigorous reviews, 170 papers were selected for publication in the proceedings. The papers collected in the proceedings cover a broad spectrum of fields, ranging from neurophysiological experiments, neural modeling to extensions and applications of neural networks. We have organized the papers into two volumes based on their topics. The first volume, entitled “Advances in Neural Networks- ISNN 2010, Part 1,” covers the following topics: neurophysiological foundation, theory and models, learning and inference, neurodynamics. The second volume en- tled “Advance in Neural Networks ISNN 2010, Part 2” covers the following five topics: SVM and kernel methods, vision and image, data mining and text analysis, BCI and brain imaging, and applications.


Advances in Neural Network Research and Applications

Advances in Neural Network Research and Applications
Author: Zhigang Zeng
Publisher: Springer
Total Pages: 964
Release: 2016-05-01
Genre:
ISBN: 9783662519882

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Including contributions from the world s leading researchers in the field, this volume is made up of top-quality peer-reviewed papers that were some of the submissions to the seventh International Symposium on Neural Networks, held in China in 2010."


Advances in Neural Networks - ISNN 2007

Advances in Neural Networks - ISNN 2007
Author: Derong Liu
Publisher: Springer Science & Business Media
Total Pages: 1210
Release: 2007-07-16
Genre: Computers
ISBN: 3540723951

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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 Networks - ISNN 2007

Advances in Neural Networks - ISNN 2007
Author: Derong Liu
Publisher: Springer Science & Business Media
Total Pages: 1345
Release: 2007-05-24
Genre: Computers
ISBN: 3540723927

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Annotation The three volume set LNCS 4491/4492/4493 constitutes the refereed proceedings of the 4th International Symposium on Neural Networks, ISNN 2007, held in Nanjing, China in June 2007. The 262 revised long papers and 192 revised short papers presented were carefully reviewed and selected from a total of 1.975 submissions. The papers are organized in topical sections on neural fuzzy control, neural networks for control applications, adaptive dynamic programming and reinforcement learning, neural networks for nonlinear systems modeling, robotics, stability analysis of neural networks, learning and approximation, data mining and feature extraction, chaos and synchronization, neural fuzzy systems, training and learning algorithms for neural networks, neural network structures, neural networks for pattern recognition, SOMs, ICA/PCA, biomedical applications, feedforward neural networks, recurrent neural networks, neural networks for optimization, support vector machines, fault diagnosis/detection, communications and signal processing, image/video processing, and applications of neural networks.


Advances in Neural Networks - ISNN 2007

Advances in Neural Networks - ISNN 2007
Author: Derong Liu
Publisher: Springer
Total Pages: 1359
Release: 2007-07-14
Genre: Computers
ISBN: 3540723838

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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 Networks – ISNN 2018

Advances in Neural Networks – ISNN 2018
Author: Tingwen Huang
Publisher: Springer
Total Pages: 872
Release: 2018-05-25
Genre: Computers
ISBN: 3319925377

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This book constitutes the refereed proceedings of the 15th International Symposium on Neural Networks, ISNN 2018, held in Minsk, Belarus in June 2018.The 98 revised regular papers presented in this volume were carefully reviewed and selected from 214 submissions. The papers cover many topics of neural network-related research including intelligent control, neurodynamic analysis, bio-signal, bioinformatics and biomedical engineering, clustering, classification, forecasting, models, algorithms, cognitive computation, machine learning, and optimization.​


Advances in Neural Networks - ISNN 2009

Advances in Neural Networks - ISNN 2009
Author: Wen Yu
Publisher: Springer
Total Pages: 1278
Release: 2009-05-21
Genre: Computers
ISBN: 3642015131

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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.