Artificial Neural Networks Icann 2008
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Artificial Neural Networks Icann 2008
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Author : Vera Kurkova-Pohlova
language : en
Publisher: Springer
Release Date : 2008-08-29
Artificial Neural Networks Icann 2008 written by Vera Kurkova-Pohlova and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-08-29 with Computers categories.
This two volume set LNCS 5163 and LNCS 5164 constitutes the refereed proceedings of the 18th International Conference on Artificial Neural Networks, ICANN 2008, held in Prague Czech Republic, in September 2008. The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The second volume is devoted to pattern recognition and data analysis, hardware and embedded systems, computational neuroscience, connectionistic cognitive science, neuroinformatics and neural dynamics. it also contains papers from two special sessions coupling, synchronies, and firing patterns: from cognition to disease, and constructive neural networks and two workshops new trends in self-organization and optimization of artificial neural networks, and adaptive mechanisms of the perception-action cycle.
Artificial Neural Networks Icann 2008
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Author : Vera Kůrková
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-08-25
Artificial Neural Networks Icann 2008 written by Vera Kůrková and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-08-25 with Computers categories.
This two volume set LNCS 5163 and LNCS 5164 constitutes the refereed proceedings of the 18th International Conference on Artificial Neural Networks, ICANN 2008, held in Prague Czech Republic, in September 2008. The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The first volume contains papers on mathematical theory of neurocomputing, learning algorithms, kernel methods, statistical learning and ensemble techniques, support vector machines, reinforcement learning, evolutionary computing, hybrid systems, self-organization, control and robotics, signal and time series processing and image processing.
Artificial Neural Networks
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Author :
language : en
Publisher:
Release Date : 2008
Artificial Neural Networks written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Artificial intelligence categories.
Artificial Neural Networks Icann 2008
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Author : Vera Kurkova-Pohlova
language : en
Publisher: Springer
Release Date : 2010-11-16
Artificial Neural Networks Icann 2008 written by Vera Kurkova-Pohlova and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-16 with Computers categories.
Artificial Neural Networks
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Author :
language : en
Publisher:
Release Date : 2008
Artificial Neural Networks written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Artificial intelligence categories.
The 18th International Conference On Artificial Neural Networks Icann 2008
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Author :
language : en
Publisher:
Release Date : 2010
The 18th International Conference On Artificial Neural Networks Icann 2008 written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
18th International Conference On Artificial Neural Networks
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Author : Dusan Husek
language : en
Publisher:
Release Date : 2009
18th International Conference On Artificial Neural Networks written by Dusan Husek and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
Constructive Neural Networks
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Author : Leonardo Franco
language : en
Publisher: Springer
Release Date : 2009-11-25
Constructive Neural Networks written by Leonardo Franco and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-25 with Technology & Engineering categories.
This book presents a collection of invited works that consider constructive methods for neural networks, taken primarily from papers presented at a special th session held during the 18 International Conference on Artificial Neural Networks (ICANN 2008) in September 2008 in Prague, Czech Republic. The book is devoted to constructive neural networks and other incremental learning algorithms that constitute an alternative to the standard method of finding a correct neural architecture by trial-and-error. These algorithms provide an incremental way of building neural networks with reduced topologies for classification problems. Furthermore, these techniques produce not only the multilayer topologies but the value of the connecting synaptic weights that are determined automatically by the constructing algorithm, avoiding the risk of becoming trapped in local minima as might occur when using gradient descent algorithms such as the popular back-propagation. In most cases the convergence of the constructing algorithms is guaranteed by the method used. Constructive methods for building neural networks can potentially create more compact and robust models which are easily implemented in hardware and used for embedded systems. Thus a growing amount of current research in neural networks is oriented towards this important topic. The purpose of this book is to gather together some of the leading investigators and research groups in this growing area, and to provide an overview of the most recent advances in the techniques being developed for constructive neural networks and their applications.
The Relevance Of The Time Domain To Neural Network Models
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Author : A. Ravishankar Rao
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-09-18
The Relevance Of The Time Domain To Neural Network Models written by A. Ravishankar Rao and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-18 with Science categories.
A significant amount of effort in neural modeling is directed towards understanding the representation of information in various parts of the brain, such as cortical maps [6], and the paths along which sensory information is processed. Though the time domain is integral an integral aspect of the functioning of biological systems, it has proven very challenging to incorporate the time domain effectively in neural network models. A promising path that is being explored is to study the importance of synchronization in biological systems. Synchronization plays a critical role in the interactions between neurons in the brain, giving rise to perceptual phenomena, and explaining multiple effects such as visual contour integration, and the separation of superposed inputs. The purpose of this book is to provide a unified view of how the time domain can be effectively employed in neural network models. A first direction to consider is to deploy oscillators that model temporal firing patterns of a neuron or a group of neurons. There is a growing body of research on the use of oscillatory neural networks, and their ability to synchronize under the right conditions. Such networks of synchronizing elements have been shown to be effective in image processing and segmentation tasks, and also in solving the binding problem, which is of great significance in the field of neuroscience. The oscillatory neural models can be employed at multiple scales of abstraction, ranging from individual neurons, to groups of neurons using Wilson-Cowan modeling techniques and eventually to the behavior of entire brain regions as revealed in oscillations observed in EEG recordings. A second interesting direction to consider is to understand the effect of different neural network topologies on their ability to create the desired synchronization. A third direction of interest is the extraction of temporal signaling patterns from brain imaging data such as EEG and fMRI. Hence this Special Session is of emerging interest in the brain sciences, as imaging techniques are able to resolve sufficient temporal detail to provide an insight into how the time domain is deployed in cognitive function. The following broad topics will be covered in the book: Synchronization, phase-locking behavior, image processing, image segmentation, temporal pattern analysis, EEG analysis, fMRI analyis, network topology and synchronizability, cortical interactions involving synchronization, and oscillatory neural networks. This book will benefit readers interested in the topics of computational neuroscience, applying neural network models to understand brain function, extracting temporal information from brain imaging data, and emerging techniques for image segmentation using oscillatory networks
The 18th International Conference On Artificial Neural Networks Icann 2008 Prague 3 6 September 2008
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Author : Vera Kůrková
language : en
Publisher:
Release Date : 2010
The 18th International Conference On Artificial Neural Networks Icann 2008 Prague 3 6 September 2008 written by Vera Kůrková and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Artificial intelligence categories.