Neural Nets And Chaotic Carriers
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Neural Nets And Chaotic Carriers
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Author : Peter Whittle
language : en
Publisher: John Wiley & Sons
Release Date : 1998-12-08
Neural Nets And Chaotic Carriers written by Peter Whittle and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-12-08 with Computers categories.
Neural Nets and Chaotic Carriers is an innovatory text, in that it develops rational principles for the design of associative memories with a view to applying these principles to models with the irregularly oscillatory operation so evident in biological neural systems. It thus bridges studies of artificial and of biological neural networks, with new results for both. The text has a strong research character, but a concise exposition from the basics makes it accessible to non-specialists. Design is based on the criterion that an associative memory must be able to cope with 'fading data', i.e. to form an inference from data even as its memory of that data degrades. The resultant net shows striking biological parallels, suggesting testable anatomical predictions. Many questions concerning composite or 'spurious' traces and memory capacity are clarified. The approach taken to models of the biological neuron and oscillation in systems of such neurons follows the pioneering ideas of W.J. Freeman, and develops these. In particular, when the associative memory principles are combined with oscillatory operation, some remarkable effects emerge. For example, the system shows a low-frequency square-wave oscillation (the 'escapement oscillation') with gamma-range bursts at its peaks, much as is observed in electroencephalograms. The text will be invaluable for researchers and graduate workers with a primary interest in artificial of biological neural nets. However, it is also accessible and interesting to anyone with the mathematical background usual in artificial intelligence, computer science, systems studies or statistics, for example.
Neural Nets And Chaotic Carriers 2nd Edition
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Author : Peter Whittle
language : en
Publisher: World Scientific
Release Date : 2010-07-29
Neural Nets And Chaotic Carriers 2nd Edition written by Peter Whittle and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-29 with Computers categories.
Neural Nets and Chaotic Carriers develops rational principles for the design of associative memories, with a view to applying these principles to models with irregularly oscillatory operation so evident in biological neural systems, and necessitated by the meaninglessness of absolute signal levels.Design is based on the criterion that an associative memory must be able to cope with “fading data”, i.e., to form an inference from the data even as its memory of that data degrades. The resultant net shows striking biological parallels. When these principles are combined with the Freeman specification of a neural oscillator, some remarkable effects emerge. For example, the commonly-observed phenomenon of neuronal bursting appears, with gamma-range oscillation modulated by a low-frequency square-wave oscillation (the “escapement oscillation”). Bridging studies and new results of artificial and biological neural networks, the book has a strong research character. It is, on the other hand, accessible to non-specialists for its concise exposition on the basics./a
Cellular Neural Networks Multi Scroll Chaos And Synchronization
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Author : Johan A K Suykens
language : en
Publisher: World Scientific
Release Date : 2005-02-14
Cellular Neural Networks Multi Scroll Chaos And Synchronization written by Johan A K Suykens and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-02-14 with Science categories.
For engineering applications that are based on nonlinear phenomena, novel information processing systems require new methodologies and design principles. This perspective is the basis of the three cornerstones of this book: cellular neural networks, chaos and synchronization. Cellular neural networks and their universal machine implementations offer a well-established platform for processing spatial-temporal patterns and wave computing. Multi-scroll circuits are generalizations to the original Chua's circuit, leading to chip implementable circuits with increasingly complex attractors. Several applications make use of synchronization techniques for nonlinear systems. A systematic overview is given for Lur'e representable systems with global synchronization criteria for master-slave and mutual synchronization, robust synchronization, H∞ synchronization, time-delayed systems and impulsive synchronization.
Cellular Neural Networks And Their Applications
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Author :
language : en
Publisher: World Scientific
Release Date : 2002
Cellular Neural Networks And Their Applications written by and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computer engineering categories.
This volume covers the fundamental theory of Cellular Neural Networks as well as their applications in various fields such as science and technology. It contains all 83 papers of the 7th International Workshop on Cellular Neural Networks and their Applications. The workshop follows a biennial series of six workshops consecutively hosted in Budapest (1990), Munich, Rome, Seville, London and Catania (2000).
Neural Modeling And Neural Networks
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Author : F. Ventriglia
language : en
Publisher: Elsevier
Release Date : 2013-10-22
Neural Modeling And Neural Networks written by F. Ventriglia and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-22 with Medical categories.
Research in neural modeling and neural networks has escalated dramatically in the last decade, acquiring along the way terms and concepts, such as learning, memory, perception, recognition, which are the basis of neuropsychology. Nevertheless, for many, neural modeling remains controversial in its purported ability to describe brain activity. The difficulties in "modeling" are various, but arise principally in identifying those elements that are fundamental for the expression (and description) of superior neural activity. This is complicated by our incomplete knowledge of neural structures and functions, at the cellular and population levels. The first step towards enhanced appreciation of the value of neural modeling and neural networks is to be aware of what has been achieved in this multidisciplinary field of research. This book sets out to create such awareness. Leading experts develop in twelve chapters the key topics of neural structures and functions, dynamics of single neurons, oscillations in groups of neurons, randomness and chaos in neural activity, (statistical) dynamics of neural networks, learning, memory and pattern recognition.
Neural Networks In Business Forecasting
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Author : G. Peter Zhang
language : en
Publisher: IGI Global
Release Date : 2004-01-01
Neural Networks In Business Forecasting written by G. Peter Zhang and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-01-01 with Computers categories.
Forecasting is one of the most important activities that form the basis for strategic, tactical, and operational decisions in all business organizations. Recently, neural networks have emerged as an important tool for business forecasting. There are considerable interests and applications in forecasting using neural networks. Neural Networks in Business Forecasting provides for researchers and practitioners some recent advances in applying neural networks to business forecasting. A number of case studies demonstrating the innovative or successful applications of neural networks to many areas of business as well as methods to improve neural network forecasting performance are presented.
Chaos Synchronization And Cryptography For Secure Communications Applications For Encryption
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Author : Banerjee, Santo
language : en
Publisher: IGI Global
Release Date : 2010-07-31
Chaos Synchronization And Cryptography For Secure Communications Applications For Encryption written by Banerjee, Santo and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-31 with Computers categories.
Over the past few decades, there has been numerous research studies conducted involving the synchronization of dynamical systems with several theoretical studies and laboratory experimentations demonstrating the pivotal role for this phenomenon in secure communications. Chaos Synchronization and Cryptography for Secure Communications: Applications for Encryption explores the combination of ordinary and time delayed systems and their applications in cryptographic encoding. This innovative publication presents a critical mass of the most sought after research, providing relevant theoretical frameworks and the latest empirical research findings in this area of study.
Cellular Neural Networks And Their Applications Procs Of The 7th Ieee Int L Workshop
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Author : Ronald Tetzlaff
language : en
Publisher: World Scientific
Release Date : 2002-07-08
Cellular Neural Networks And Their Applications Procs Of The 7th Ieee Int L Workshop written by Ronald Tetzlaff and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-07-08 with Computers categories.
This volume covers the fundamental theory of Cellular Neural Networks as well as their applications in various fields such as science and technology. It contains all 83 papers of the 7th International Workshop on Cellular Neural Networks and their Applications. The workshop follows a biennial series of six workshops consecutively hosted in Budapest (1990), Munich, Rome, Seville, London and Catania (2000).
Integral Biomathics
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Author : Plamen L. Simeonov
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-07-13
Integral Biomathics written by Plamen L. Simeonov 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 2012-07-13 with Technology & Engineering categories.
Perhaps the most distinct question in science throughout the ages has been the one of perceivable reality, treated both in physics and philosophy. Reality is acting upon us, and we, and life in general, are acting upon reality. Potentiality, found both in quantum reality and in the activity of life, plays a key role. In quantum reality observation turns potentiality into reality. Again, life computes possibilities in various ways based on past actions, and acts on the basis of these computations. This book is about a new approach to biology (and physics, of course!). Its subtitle suggests a perpetual movement and interplay between two elusive aspects of modern science — reality/matter and potentiality/mind, between physics and biology — both captured and triggered by mathematics — to understand and explain emergence, development and life all the way up to consciousness. But what is the real/potential difference between living and non-living matter? How does time in potentiality differ from time in reality? What we need to understand these differences is an integrative approach. This book contemplates how to encircle life to obtain a formal system, equivalent to the ones in physics. Integral Biomathics attempts to explore the interplay between reality and potentiality.
Oscillatory Neural Networks
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Author : Margarita G. Kuzmina
language : en
Publisher: Walter de Gruyter
Release Date : 2013-11-27
Oscillatory Neural Networks written by Margarita G. Kuzmina and has been published by Walter de Gruyter this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-27 with Science categories.
Understanding of the human brain functioning currently represents a challenging problem. In contrast to usual serial computers and complicated hierarchically organized artificial man-made systems, decentralized, parallel and distributed information processing principles are inherent to the brain. Besides adaptation and learning, which play a crucial role in brain functioning, oscillatory neural activity, synchronization and resonance accompany the brain work. Neural-like oscillatory network models, designed by the authors for image processing, allow to elucidate the capabilities of dynamical, synchronization-based types of image processing, presumably exploited by the brain. The oscillatory network models, studied by means of computer modeling and qualitative analysis, are presented and discussed in the book. Some other problems of parallel distributed information processing are also considered, such as a recall process from network memory for large-scale recurrent associative memory neural networks, performance of oscillatory networks of associative memory, dynamical oscillatory network methods of image processing with synchronization-based performance, optical parallel information processing based on the nonlinear optical phenomenon of photon echo, and modeling random electric fields of quasi-monochromatic polarized light beams using systems of superposed stochastic oscillators. This makes the book highly interesting to researchers dealing with various aspects of parallel information processing.