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Advances in Neural Network Research: Ijcnn 2003
ISBN: 9780080443201 / Angielski / Twarda / 434 str. Termin realizacji zamówienia: ok. 5-8 dni roboczych. IJCNN is the flagship conference of the INNS, as well as the IEEE Neural Networks Society. It
has arguably been the preeminent conference in the field, even as neural network conferences have proliferated and specialized. As the number of conferences has grown, its strongest competition has migrated away from an emphasis on neural networks. IJCNN has embraced the proliferation of spin-off and related fields (see the topic list, below), while maintaining a core emphasis befitting its name. It has also succeeded in enforcing an emphasis on quality. IJCNN is the flagship conference of the INNS, as well as the IEEE Neural Networks Society. It
has arguably been the preeminent conference in the fi... |
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668,06 zł |
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Neural Networks and Intellect: Using Model-Based Concepts
ISBN: 9780195111620 / Angielski / Twarda / 496 str. Termin realizacji zamówienia: ok. 5-8 dni roboczych. Neural Networks and Intellect: Using Model-Based Concepts describes a new mathematical concept of modeling field theory and its applications to a variety of problems. Examining the relationships among mathematics, computations in neural networks, signs and symbols in semiotics, and ideas of mind in psychology and philosophy, this unique text discusses deep philosophical questions in detail and relates them to mathematics and the engineering of intelligence. Ideal for courses in neural networks, modern pattern recognition, and mathematical concepts of intelligence, it will also be of...
Neural Networks and Intellect: Using Model-Based Concepts describes a new mathematical concept of modeling field theory and its applications ...
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1186,83 zł |
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Talking Nets: An Oral History of Neural Networks
ISBN: 9780262511117 / Angielski / Miękka / 448 str. Termin realizacji zamówienia: ok. 5-8 dni roboczych. Since World War II, a group of scientists has been attempting to understand the human nervous system and to build computer systems that emulate the brain's abilities. Many of the early workers in this field of neural networks came from cybernetics; others came from neuroscience, physics, electrical engineering, mathematics, psychology, even economics. In this collection of interviews, those who helped to shape the field share their childhood memories, their influences, how they became interested in neural networks, and what they see as its future. The subjects tell stories that have... Since World War II, a group of scientists has been attempting to understand the human nervous system and to build computer systems that emulate the... |
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275,31 zł |
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From Synapses to Rules: Discovering Symbolic Rules from Neural Processed Data
ISBN: 9780306474026 / Angielski / Twarda / 388 str. Termin realizacji zamówienia: ok. 5-8 dni roboczych. One high-level ability of the human brain is to understand what it has learned. This seems to be the crucial advantage in comparison to the brain activity of other primates. At present we are technologically almost ready to artificially reproduce human brain tissue, but we still do not fully understand the information processing and the related biological mechanisms underlying this ability. Thus an electronic clone of the human brain is still far from being realizable. At the same time, around twenty years after the revival of the connectionist paradigm, we are not yet satisfied with the...
One high-level ability of the human brain is to understand what it has learned. This seems to be the crucial advantage in comparison to the brain acti...
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605,23 zł |
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Models of Neural Networks: Temporal Aspects of Coding and Information Processing in Biological Systems
ISBN: 9780387943626 / Angielski / Twarda / 347 str. Termin realizacji zamówienia: ok. 5-8 dni roboczych. Since the appearance of Vol. 1 of Models of Neural Networks in 1991, the theory of neural nets has focused on two paradigms: information coding through coherent firing of the neurons and functional feedback. Information coding through coherent neuronal firing exploits time as a cardinal degree of freedom. This capacity of a neural network rests on the fact that the neuronal action potential is a short, say 1 ms, spike, localized in space and time. Spatial as well as temporal correlations of activity may represent different states of a network. In particular, temporal correlations of activity...
Since the appearance of Vol. 1 of Models of Neural Networks in 1991, the theory of neural nets has focused on two paradigms: information coding throug...
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605,23 zł |
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An Information-Theoretic Approach to Neural Computing
ISBN: 9780387946665 / Angielski / Twarda / 262 str. Termin realizacji zamówienia: ok. 5-8 dni roboczych. Neural networks provide a powerful new technology to model and control nonlinear and complex systems. In this book, the authors present a detailed formulation of neural networks from the information-theoretic viewpoint. They show how this perspective provides new insights into the design theory of neural networks. In particular they show how these methods may be applied to the topics of supervised and unsupervised learning including feature extraction, linear and non-linear independent component analysis, and Boltzmann machines. Readers are assumed to have a basic understanding of neural...
Neural networks provide a powerful new technology to model and control nonlinear and complex systems. In this book, the authors present a detailed for...
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403,47 zł |
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Information Dynamics: Foundations and Applications
ISBN: 9780387950471 / Angielski / Twarda / 281 str. Termin realizacji zamówienia: ok. 5-8 dni roboczych. This book originated from a forefront R&D project pursued at Siemens Corporate Technology over the past several years. As a name for this project, we chose "Information Dynamics," which stands for information processing in complex dynamical systems. In the project, we wanted to grasp the flow of information in such systems in a quantitative manner, on the one hand by making use of an existing arsenal of methods and techniques from areas such as information theory, mathematical statistics, neural networks, nonlinear dynamics, probability theory, and statistical physics, and on the other hand...
This book originated from a forefront R&D project pursued at Siemens Corporate Technology over the past several years. As a name for this project, we ...
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cena:
201,72 zł |
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neural network data analysis using simulnet(tm)
ISBN: 9780387982557 / Angielski / Twarda / 226 str. Termin realizacji zamówienia: ok. 5-8 dni roboczych. This book and software package complements the traditional data analysis tools already widely available. It presents an introduction to the analysis of data using neural network functions such as multilayer feed-forward networks using error back propagation, genetic algorithm-neural network hybrids, generalised regression neural networks, learning quantizer networks, and self-organising feature maps. In an easy-to-use, Windows-based environment it offers a wide range of data analytic tools which are not usually found together: genetic algorithms, probabilistic networks, as well as a number of...
This book and software package complements the traditional data analysis tools already widely available. It presents an introduction to the analysis o...
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cena:
201,72 zł |
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Principal Component Neural Networks: Theory and Applications
ISBN: 9780471054368 / Angielski / Twarda / 272 str. Termin realizacji zamówienia: ok. 5-8 dni roboczych. Neural Network research studies how computers can be designed to emulate many of the logical and intelligent functions of the brain. The principles behind how the brain work are closely related to a statistical technique known as the Principal Component Analysis (PCA). PCA neural networks are systems that use this classical statistical technique to process information. Understanding biological perceptual systems is of great importance to engineers and computer scientists who wish to use this knowledge to develop artificial perceptual systems. This book examines the relationship between the...
Neural Network research studies how computers can be designed to emulate many of the logical and intelligent functions of the brain. The principles be...
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840,08 zł |
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Nonlinear Dynamical Systems: Feedforward Neural Network Perspectives
ISBN: 9780471349112 / Angielski / Twarda / 312 str. Termin realizacji zamówienia: ok. 5-8 dni roboczych. The first truly up-to-date look at the theory and capabilities of nonlinear dynamical systems that take the form of feedforward neural network structures
Considered one of the most important types of structures in the study of neural networks and neural-like networks, feedforward networks incorporating dynamical elements have important properties and are of use in many applications. Specializing in experiential knowledge, a neural network stores and expands its knowledge base via strikingly human routes-through a learning process and information storage involving interconnection... The first truly up-to-date look at the theory and capabilities of nonlinear dynamical systems that take the form of feedforward neural network structu...
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809,34 zł |
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Neural and Adaptive Systems: Fundamentals Through Simulations
ISBN: 9780471351672 / Angielski / Miękka / 672 str. Termin realizacji zamówienia: ok. 5-8 dni roboczych. Develop New Insight into the Behavior of Adaptive Systems
This one-of-a-kind interactive book and CD-ROM will help you develop a better understanding of the behavior of adaptive systems. Developed as part of a project aimed at innovating the teaching of adaptive systems in science and engineering, it unifies the concepts of neural networks and adaptive filters into a common framework. It begins by explaining the fundamentals of adaptive linear regression and builds on these concepts to explore pattern classification, function approximation, feature extraction, and time-series... Develop New Insight into the Behavior of Adaptive Systems
This one-of-a-kind interactive book and CD-ROM will help you develop a better unde... |
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696,61 zł |
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Nonlinear Dynamic Modeling of Physiological Systems
ISBN: 9780471469605 / Angielski / Twarda / 560 str. Termin realizacji zamówienia: ok. 5-8 dni roboczych. The study of nonlinearities in physiology has been hindered by the lack of effective ways to obtain nonlinear dynamic models from stimulus-response data in a practical context. A considerable body of knowledge has accumulated over the last thirty years in this area of research. This book summarizes that progress, and details the most recent methodologies that offer practical solutions to this daunting problem. Implementation and application are discussed, and examples are provided using both synthetic and actual experimental data.
This essential study of nonlinearities in physiology... The study of nonlinearities in physiology has been hindered by the lack of effective ways to obtain nonlinear dynamic models from stimulus-response da...
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cena:
840,08 zł |
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Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability
ISBN: 9780471495178 / Angielski / Twarda / 304 str. Termin realizacji zamówienia: ok. 5-8 dni roboczych. New technologies in engineering, physics and biomedicine are demanding increasingly complex methods of digital signal processing. By presenting the latest research work the authors demonstrate how real-time recurrent neural networks (RNNs) can be implemented to expand the range of traditional signal processing techniques and to help combat the problem of prediction. Within this text neural networks are considered as massively interconnected nonlinear adaptive filters.
New technologies in engineering, physics and biomedicine are demanding increasingly complex methods of digital signal processing. By presenting the la...
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cena:
896,45 zł |
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The Roots of Backpropagation: From Ordered Derivatives to Neural Networks and Political Forecasting
ISBN: 9780471598978 / Angielski / Twarda / 319 str. Termin realizacji zamówienia: ok. 5-8 dni roboczych. Now, for the first time, publication of the landmark work in backpropagation Scientists, engineers, statisticians, operations researchers, and other investigators involved in neural networks have long sought direct access to Paul Werbos's groundbreaking, much-cited 1974 Harvard doctoral thesis, The Roots of Backpropagation, which laid the foundation of backpropagation. Now, with the publication of its full text, these practitioners can go straight to the original material and gain a deeper, practical understanding of this unique mathematical approach to social studies and related fields. In...
Now, for the first time, publication of the landmark work in backpropagation Scientists, engineers, statisticians, operations researchers, and other ...
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cena:
881,08 zł |
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Intelligent System Applications in Power Engineering: Evolutionary Programming and Neural Networks
ISBN: 9780471980957 / Angielski / Twarda / 288 str. Termin realizacji zamówienia: ok. 5-8 dni roboczych. Cutting-edge research indicates that evolutionary programming is set to emerge as the dominant optimisation technique in the fast-changing power industry. Combining theory and practice, Intelligent System Applications in Power Engineering capitalises on the potential of neural networks and evolutionary computation to resolve real-world power engineering problems such as load forecasting, power system operation and planning optimisation. Unlike existing optimisation methods, these novel computational intelligence techniques provide power utilities with innovative solutions for improved...
Cutting-edge research indicates that evolutionary programming is set to emerge as the dominant optimisation technique in the fast-changing power indus...
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cena:
1034,80 zł |
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An Introduction to the Modeling of Neural Networks
ISBN: 9780521414517 / Angielski / Twarda / 492 str. Termin realizacji zamówienia: ok. 5-8 dni roboczych. This text is a graduate-level introduction to neural networks, focusing on current theoretical models, examining what these models can reveal about how the brain functions, and discussing the ramifications for psychology, artificial intelligence, and the construction of a new generation of intelligent computers. The book is divided into four parts. The first part gives an account of the anatomy of the central nervous system, followed by a brief introduction to neurophysiology. The second part is devoted to the dynamics of neuronal states, and demonstrates how very simple models may stimulate...
This text is a graduate-level introduction to neural networks, focusing on current theoretical models, examining what these models can reveal about ho...
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cena:
702,65 zł |
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Modelling Brain Function: The World of Attractor Neural Networks
ISBN: 9780521421249 / Angielski / Miękka / 524 str. Termin realizacji zamówienia: ok. 5-8 dni roboczych. Exploring one of the most exciting and potentially rewarding areas of scientific research, the study of the principles and mechanisms underlying brain function, this book introduces and explains the techniques brought from physics to the study of neural networks and the insights they have stimulated. Substantial progress in understanding memory, the learning process, and self-organization by studying the properties of models of neural networks have resulted in discoveries of important parallels between the properties of statistical, nonlinear cooperative systems in physics and neural...
Exploring one of the most exciting and potentially rewarding areas of scientific research, the study of the principles and mechanisms underlying brain...
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cena:
338,33 zł |
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An Introduction to the Modeling of Neural Networks
ISBN: 9780521424875 / Angielski / Miękka / 492 str. Termin realizacji zamówienia: ok. 5-8 dni roboczych. This text is a beginning graduate-level introduction to neural networks, focusing on current theoretical models, examining what these models can reveal about how the brain functions, and discussing the ramifications for psychology, artificial intelligence and the construction of a new generation of intelligent computers.
This text is a beginning graduate-level introduction to neural networks, focusing on current theoretical models, examining what these models can revea...
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cena:
384,45 zł |
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Neural Network Learning: Theoretical Foundations
ISBN: 9780521573535 / Angielski / Twarda / 404 str. Termin realizacji zamówienia: ok. 5-8 dni roboczych. This important work describes recent theoretical advances in the study of artificial neural networks. It 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, Anthony and Bartlett develop a model of classification by real-output networks, and demonstrate the usefulness of classification...
This important work describes recent theoretical advances in the study of artificial neural networks. It explores probabilistic models of supervised l...
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cena:
555,08 zł |
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Applied Neural Networks for Signal Processing
ISBN: 9780521644006 / Angielski / Miękka / 382 str. Termin realizacji zamówienia: ok. 5-8 dni roboczych. The use of neural networks in signal processing is becoming increasingly widespread, with applications in many areas. Applied Neural Networks for Signal Processing is the first book to provide a comprehensive introduction to this broad field. It begins by covering the basic principles and models of neural networks in signal processing. The authors then discuss a number of powerful algorithms and architectures for a range of important problems, and describe practical implementation procedures. A key feature of the book is that many carefully designed simulation examples are included to help...
The use of neural networks in signal processing is becoming increasingly widespread, with applications in many areas. Applied Neural Networks for Sign...
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cena:
296,84 zł |
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