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Cellular Neural Networks and Visual Computing

Cellular Neural Networks and Visual Computing Author Leon O. Chua
ISBN-10 1139433326
Release 2002-05-30
Pages
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Cellular Nonlinear/neural Network (CNN) technology is both a revolutionary concept and an experimentally proven new computing paradigm. Analogic cellular computers based on CNNs are set to change the way analog signals are processed and are paving the way to an analog computing industry. This unique undergraduate level textbook includes many examples and exercises, including CNN simulator and development software accessible via the Internet. It is an ideal introduction to CNNs and analogic cellular computing for students, researchers and engineers from a wide range of disciplines. Although its prime focus is on visual computing, the concepts and techniques described in the book will be of great interest to those working in other areas of research including modeling of biological, chemical and physical processes. Leon Chua, co-inventor of the CNN, and Tamás Roska are both highly respected pioneers in the field.



Thinking in Complexity

Thinking in Complexity Author Klaus Mainzer
ISBN-10 9783662053645
Release 2013-03-09
Pages 456
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This new edition also treats smart materials and artificial life. A new chapter on information and computational dynamics takes up many recent discussions in the community.



Universality and Emergent Computation in Cellular Neural Networks

Universality and Emergent Computation in Cellular Neural Networks Author Radu Dogaru
ISBN-10 9789812381026
Release 2003
Pages 247
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Cellular computing is a natural information processing paradigm, capable of modeling various biological, physical and social phenomena, as well as other kinds of complex adaptive systems. The programming of a cellular computer is in many respects similar to the genetic evolution in biology, the result being a proper cell design and a task-specific gene.How should one ?program? the cell of a cellular computer such that a dynamic behavior with computational relevance will emerge? What are the ?rules? for designing a computationally universal and efficient cell?The answers to those questions can be found in this book. It introduces the relatively new paradigm of the cellular neural network from an original perspective and provides the reader with the guidelines for understanding how such cellular computers can be ?programmed? and designed optimally. The book contains numerous practical examples and software simulators, allowing readers to experiment with the various phases of designing cellular computers by themselves.



Issues in Electronic Circuits Devices and Materials 2011 Edition

Issues in Electronic Circuits  Devices  and Materials  2011 Edition Author
ISBN-10 9781464963728
Release 2012-01-09
Pages 2452
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Issues in Electronic Circuits, Devices, and Materials: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Electronic Circuits, Devices, and Materials. The editors have built Issues in Electronic Circuits, Devices, and Materials: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Electronic Circuits, Devices, and Materials in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Electronic Circuits, Devices, and Materials: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.



Encyclopedia of Artificial Intelligence

Encyclopedia of Artificial Intelligence Author
ISBN-10 9781599048499
Release 2009
Pages 1640
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"This book is a comprehensive and in-depth reference to the most recent developments in the field covering theoretical developments, techniques, technologies, among others"--Provided by publisher.



Correlation Pattern Recognition

Correlation Pattern Recognition Author B. V. K. Vijaya Kumar
ISBN-10 1139447122
Release 2005-11-24
Pages
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Correlation is a robust and general technique for pattern recognition and is used in many applications, such as automatic target recognition, biometric recognition and optical character recognition. The design, analysis and use of correlation pattern recognition algorithms requires background information, including linear systems theory, random variables and processes, matrix/vector methods, detection and estimation theory, digital signal processing and optical processing. This 2005 book provides a needed review of this diverse background material and develops the signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. It shows both digital and optical implementations. It also contains technology presented by the team that developed it and includes case studies of significant interest, such as face and fingerprint recognition. Suitable for graduate students taking courses in pattern recognition theory, whilst reaching technical levels of interest to the professional practitioner.



IEEE Circuits Devices

IEEE Circuits   Devices Author
ISBN-10 UCSD:31822033897703
Release 2004
Pages
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IEEE Circuits Devices has been writing in one form or another for most of life. You can find so many inspiration from IEEE Circuits Devices also informative, and entertaining. Click DOWNLOAD or Read Online button to get full IEEE Circuits Devices book for free.



Bioengineered and Bioinspired Systems

Bioengineered and Bioinspired Systems Author
ISBN-10 UOM:39015058776223
Release 2005
Pages
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Bioengineered and Bioinspired Systems has been writing in one form or another for most of life. You can find so many inspiration from Bioengineered and Bioinspired Systems also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Bioengineered and Bioinspired Systems book for free.



Proceedings of the 7th IEEE International Workshop on Cellular Neural Networks and Their Applications

Proceedings of the 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Author Ronald Tetzlaff
ISBN-10 9812776796
Release 2002
Pages 671
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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).



Biophysical Neural Networks

Biophysical Neural Networks Author Roman R. Poznanski
ISBN-10 UOM:39015054304921
Release 2001-01-01
Pages 503
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Biophysical Neural Networks has been writing in one form or another for most of life. You can find so many inspiration from Biophysical Neural Networks also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Biophysical Neural Networks book for free.



Thinking Machines and the Philosophy of Computer Science

Thinking Machines and the Philosophy of Computer Science Author Jordi Vallverdú
ISBN-10 9781616920159
Release 2010
Pages 435
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This discipline of philosophy and computer science offers an interdisciplinary exchange of ideas that range from philosophical and mathematical logic to epistemology, engineering, ethics or neuroscience. Thinking Machines and the Philosophy of Computer Science: Concepts and Principles presents a conversation between established experts and new researchers in the field of philosophy and computer science about human and non-human relationships with the environment. This resource contains five sections including topics on philosophical analysis, the posterior ethical debate, the nature of computer simulations, and the crossroads between robotics, AI, cognitive theories and philosophy.



Proceedings

Proceedings Author
ISBN-10 UOM:39015048312824
Release 2002
Pages
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Proceedings has been writing in one form or another for most of life. You can find so many inspiration from Proceedings also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Proceedings book for free.



2001 International Semiconductor Conference

2001 International Semiconductor Conference Author IEEE
ISBN-10 0780384997
Release 2001
Pages
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2001 International Semiconductor Conference has been writing in one form or another for most of life. You can find so many inspiration from 2001 International Semiconductor Conference also informative, and entertaining. Click DOWNLOAD or Read Online button to get full 2001 International Semiconductor Conference book for free.



Neural Networks and Statistical Learning

Neural Networks and Statistical Learning Author Ke-Lin Du
ISBN-10 9781447155713
Release 2013-12-09
Pages 824
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Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content. Each of the twenty-five chapters includes state-of-the-art descriptions and important research results on the respective topics. The broad coverage includes the multilayer perceptron, the Hopfield network, associative memory models, clustering models and algorithms, the radial basis function network, recurrent neural networks, principal component analysis, nonnegative matrix factorization, independent component analysis, discriminant analysis, support vector machines, kernel methods, reinforcement learning, probabilistic and Bayesian networks, data fusion and ensemble learning, fuzzy sets and logic, neurofuzzy models, hardware implementations, and some machine learning topics. Applications to biometric/bioinformatics and data mining are also included. Focusing on the prominent accomplishments and their practical aspects, academic and technical staff, graduate students and researchers will find that this provides a solid foundation and encompassing reference for the fields of neural networks, pattern recognition, signal processing, machine learning, computational intelligence, and data mining.



Neural Networks

Neural Networks Author Raul Rojas
ISBN-10 9783642610684
Release 2013-06-29
Pages 502
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Neural networks are a computing paradigm that is finding increasing attention among computer scientists. In this book, theoretical laws and models previously scattered in the literature are brought together into a general theory of artificial neural nets. Always with a view to biology and starting with the simplest nets, it is shown how the properties of models change when more general computing elements and net topologies are introduced. Each chapter contains examples, numerous illustrations, and a bibliography. The book is aimed at readers who seek an overview of the field or who wish to deepen their knowledge. It is suitable as a basis for university courses in neurocomputing.



Neural Networks for Applied Sciences and Engineering

Neural Networks for Applied Sciences and Engineering Author Sandhya Samarasinghe
ISBN-10 1420013068
Release 2016-04-19
Pages 570
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In response to the exponentially increasing need to analyze vast amounts of data, Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition provides scientists with a simple but systematic introduction to neural networks. Beginning with an introductory discussion on the role of neural networks in scientific data analysis, this book provides a solid foundation of basic neural network concepts. It contains an overview of neural network architectures for practical data analysis followed by extensive step-by-step coverage on linear networks, as well as, multi-layer perceptron for nonlinear prediction and classification explaining all stages of processing and model development illustrated through practical examples and case studies. Later chapters present an extensive coverage on Self Organizing Maps for nonlinear data clustering, recurrent networks for linear nonlinear time series forecasting, and other network types suitable for scientific data analysis. With an easy to understand format using extensive graphical illustrations and multidisciplinary scientific context, this book fills the gap in the market for neural networks for multi-dimensional scientific data, and relates neural networks to statistics. Features § Explains neural networks in a multi-disciplinary context § Uses extensive graphical illustrations to explain complex mathematical concepts for quick and easy understanding ? Examines in-depth neural networks for linear and nonlinear prediction, classification, clustering and forecasting § Illustrates all stages of model development and interpretation of results, including data preprocessing, data dimensionality reduction, input selection, model development and validation, model uncertainty assessment, sensitivity analyses on inputs, errors and model parameters Sandhya Samarasinghe obtained her MSc in Mechanical Engineering from Lumumba University in Russia and an MS and PhD in Engineering from Virginia Tech, USA. Her neural networks research focuses on theoretical understanding and advancements as well as practical implementations.



The British National Bibliography

The British National Bibliography Author Arthur James Wells
ISBN-10 UOM:39015079755784
Release 2002
Pages
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The British National Bibliography has been writing in one form or another for most of life. You can find so many inspiration from The British National Bibliography also informative, and entertaining. Click DOWNLOAD or Read Online button to get full The British National Bibliography book for free.