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Author: Stephen I. Gallant
Publisher: MIT Press
ISBN: 9780262071451
Category : Computers
Languages : en
Pages : 392
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Book Description
presents a unified and in-depth development of neural network learning algorithms and neural network expert systems
Author: Stephen I. Gallant
Publisher: MIT Press
ISBN: 9780262071451
Category : Computers
Languages : en
Pages : 392
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Book Description
presents a unified and in-depth development of neural network learning algorithms and neural network expert systems
Author: Leonardo Franco
Publisher: Springer
ISBN: 364204512X
Category : Technology & Engineering
Languages : en
Pages : 296
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Book Description
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.
Author: John Larry Stricker
Publisher:
ISBN:
Category : Human information processing
Languages : en
Pages : 268
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Book Description
The present work explores how executive functions can be implemented in neural networks. Computational models such as neural networks allow researchers to develop more sophisticated conceptualizations of how executive functioning could be implemented in the brain. However, most computational models are designed only to solve a single problem rather than to solve multiple problems and integrate new and old knowledge. The problem domain for the models of the present work consists of Boolean logic expressions. These expressions easily lend themselves to implementation in neural networks while at the same time they can represent a range of problems that relate to executive functions, such as learning complementary vs. unrelated information. Network architectures and training regimes are developed that allow neural networks to solve multiple problems constructively while minimizing the impact of interference. The networks illustrate that the constructive learning of multiple problems does not require an executive controller, separate memory systems, or the constructive addition of learning resources.
Author: Martin Anthony
Publisher: Cambridge University Press
ISBN: 052157353X
Category : Computers
Languages : en
Pages : 405
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Book Description
This work explores probabilistic models of supervised learning problems and addresses the key statistical and computational questions. Chapters survey research on pattern classification with binary-output networks, including a discussion of the relevance of the Vapnik Chervonenkis dimension, and of estimates of the dimension for several neural network models. In addition, the authors develop a model of classification by real-output networks, and demonstrate the usefulness of classification...
Author: Martin T. Hagan
Publisher:
ISBN: 9789812403766
Category : Neural networks (Computer science)
Languages : en
Pages :
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Book Description
Author: Russell Reed
Publisher: MIT Press
ISBN: 0262181908
Category : Computers
Languages : en
Pages : 359
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Book Description
Artificial neural networks are nonlinear mapping systems whose structure is loosely based on principles observed in the nervous systems of humans and animals. The basic idea is that massive systems of simple units linked together in appropriate ways can generate many complex and interesting behaviors. This book focuses on the subset of feedforward artificial neural networks called multilayer perceptrons (MLP). These are the mostly widely used neural networks, with applications as diverse as finance (forecasting), manufacturing (process control), and science (speech and image recognition). This book presents an extensive and practical overview of almost every aspect of MLP methodology, progressing from an initial discussion of what MLPs are and how they might be used to an in-depth examination of technical factors affecting performance. The book can be used as a tool kit by readers interested in applying networks to specific problems, yet it also presents theory and references outlining the last ten years of MLP research.
Author: Kusum Deep
Publisher: Springer Science & Business Media
ISBN: 8132204875
Category : Technology & Engineering
Languages : en
Pages : 1048
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Book Description
The objective is to provide the latest developments in the area of soft computing. These are the cutting edge technologies that have immense application in various fields. All the papers will undergo the peer review process to maintain the quality of work.
Author: Jun Wang
Publisher: Springer
ISBN: 3540344381
Category : Computers
Languages : en
Pages : 1470
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Book Description
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.
Author: Hujun Yin
Publisher: Springer Science & Business Media
ISBN: 3642238777
Category : Computers
Languages : en
Pages : 527
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Book Description
This book constitutes the refereed proceedings of the 12th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2011, held in Norwich, UK, in September 2011. The 59 revised full papers presented were carefully reviewed and selected from numerous submissions for inclusion in the book and present the latest theoretical advances and real-world applications in computational intelligence.
Author: Xiaofeng Liao
Publisher: Springer Science & Business Media
ISBN: 3540259139
Category : Computers
Languages : en
Pages : 994
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Book Description
The three volume set LNCS 3496/3497/3498 constitutes the refereed proceedings of the Second International Symposium on Neural Networks, ISNN 2005, held in Chongqing, China in May/June 2005. The 483 revised papers presented were carefully reviewed and selected from 1.425 submissions. The papers are organized in topical sections on theoretical analysis, model design, learning methods, optimization methods, kernel methods, component analysis, pattern analysis, systems modeling, signal processing, image processing, financial analysis, control systems, robotic systems, telecommunication networks, incidence detection, fault diagnosis, power systems, biomedical applications, industrial applications, and other applications.
