Cellular Neural Networks and Visual Computing

Foundations and Applications

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Author: Leon O. Chua,Tamas Roska

Publisher: Cambridge University Press

ISBN: 9781139433327

Category: Computers

Page: N.A

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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

The Computational Dynamics of Matter, Mind, and Mankind

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Author: Klaus Mainzer

Publisher: Springer Science & Business Media

ISBN: 3540722289

Category: Science

Page: 482

View: 3869

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.

Issues in Electronic Circuits, Devices, and Materials: 2011 Edition

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Author: N.A

Publisher: ScholarlyEditions

ISBN: 146496372X

Category: Technology & Engineering

Page: 2452

View: 4153

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

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Author: N.A

Publisher: IGI Global Snippet

ISBN: 1599048493

Category: Artificial intelligence

Page: 1640

View: 4554

"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.

Neural networks in a softcomputing framework

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Author: K.-L. Du,M. N. S. Swamy

Publisher: Springer-Verlag New York Inc

ISBN: 9781846283024

Category: Computers

Page: 566

View: 4978

Conventional model-based data processing methods are computationally expensive and require experts knowledge for the modelling of a system; neural networks provide a model-free, adaptive, parallel-processing solution. Neural Networks in a Softcomputing Framework presents a thorough review of the most popular neural-network methods and their associated techniques.This concise but comprehensive textbook provides a powerful and universal paradigm for information processing. Each chapter provides state-of-the-art descriptions of the important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms, are introduced. These are powerful tools for neural-network learning. Array signal processing problems are discussed in order to illustrate the applications of each neural-network model.Neural Networks in a Softcomputing Framework is an ideal textbook for graduate students and researchers in this field because in addition to grasping the fundamentals, they can discover the most recent advances in each of the popular models. The systematic survey of each neural-network model and the exhaustive list of references will enable researchers and students to find suitable topics for future research. The important algorithms outlined also make this textbook a valuable reference for scientists and practitioners working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence.

Thinking Machines and the Philosophy of Computer Science

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Author: Jordi Vallverdú

Publisher: IGI Global Snippet

ISBN: 1616920157

Category: Computers

Page: 435

View: 470

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

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Author: N.A

Publisher: N.A

ISBN: N.A

Category: Neural networks (Computer science)

Page: N.A

View: 7129

2001 International Semiconductor Conference

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Author: IEEE,National Institute for Research and Development in Microtechnologies,National Institute for Research and Development in Microtechnologies (Romania),Institute of Electrical and Electronics Engineers,National Institute for Research and Development in Microtechnologies (Bucarest),National Institute for Research and Development in Microtechnologies (Romania).

Publisher: IEEE

ISBN: 9780780384996

Category: Semiconductors

Page: N.A

View: 4679

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

Institute of Applied Physics, Johann Wolfgang Goethe-University, Frankfurt, Germany, 22-24 July, 2002

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Author: Ronald Tetzlaff

Publisher: World Scientific

ISBN: 9789812776792

Category: Computer engineering

Page: 671

View: 2143

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).

Cellular Neural Networks and Image Processing

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Author: Tao Yang

Publisher: Nova Science Pub Incorporated

ISBN: N.A

Category: Technology & Engineering

Page: 349

View: 8483

This book applies the design principles of cellular image operators to a hardware platform called cellular neural network (CNN). CNN is a member of the hardware family called vision chips. Based on state-of-the-art technology, a vision chip is defined as a VLSI chip that can perform image processing tasks. CNN is mostly nourished from two main fields: One is cellular automata and the other is neural network. As an interdisciplinary product, the study of CNN mainly focuses on finding specialised design principle called template design. CNN utilises cellular hardware structures to gain ultrahigh image processing speed.

Proceedings, 1995 International Symposium on Nonlinear Theory and its Applications

Caesars Palace, Las Vegas, Nevada, U.S.A., Dec. 10-14, 1995

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Author: Denshi Jōhō Tsūshin Gakkai (Japan),Telecommunications Advancement Foundation,International Communications Foundation,IEEE Neural Networks Council

Publisher: N.A

ISBN: N.A

Category: Computers

Page: N.A

View: 7944

1998 Fifth IEEE International Workshop on Cellular Neural Networks and Their Applications

Proceedings : CNNA 98 : 14-17 April, 1998, South Bank University, London, UK

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Author: Vedat Tavsanoglu,Institute of Electrical and Electronics Engineers

Publisher: Institute of Electrical & Electronics Engineers(IEEE)

ISBN: 9780780348677

Category: Computers

Page: 421

View: 8030

CNNA '98 provides a forum for the presentation of the latest results and the exploration of future directions in Cellular Neural Networks (CNN) and their Applications. CNN technology is now becoming a generic name for the concept of locally connected nonlinear processor arrays and is covering broader and broader areas.

Self-Organizing Neural Networks

Recent Advances and Applications

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Author: Udo Seiffert

Publisher: Springer Science & Business Media

ISBN: 9783790814170

Category: Computers

Page: 278

View: 9931

The Self-Organizing Map (SOM) is one of the most frequently used architectures for unsupervised artificial neural networks. Introduced by Teuvo Kohonen in the 1980s, SOMs have been developed as a very powerful method for visualization and unsupervised classification tasks by an active and innovative community of interna tional researchers. A number of extensions and modifications have been developed during the last two decades. The reason is surely not that the original algorithm was imperfect or inad equate. It is rather the universal applicability and easy handling of the SOM. Com pared to many other network paradigms, only a few parameters need to be arranged and thus also for a beginner the network leads to useful and reliable results. Never theless there is scope for improvements and sophisticated new developments as this book impressively demonstrates. The number of published applications utilizing the SOM appears to be unending. As the title of this book indicates, the reader will benefit from some of the latest the oretical developments and will become acquainted with a number of challenging real-world applications. Our aim in producing this book has been to provide an up to-date treatment of the field of self-organizing neural networks, which will be ac cessible to researchers, practitioners and graduated students from diverse disciplines in academics and industry. We are very grateful to the father of the SOMs, Professor Teuvo Kohonen for sup porting this book and contributing the first chapter.

Neural Information Processing and VLSI

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Author: Bing J. Sheu,Joongho Choi

Publisher: Springer Science & Business Media

ISBN: 1461522471

Category: Technology & Engineering

Page: 559

View: 8704

Neural Information Processing and VLSI provides a unified treatment of this important subject for use in classrooms, industry, and research laboratories, in order to develop advanced artificial and biologically-inspired neural networks using compact analog and digital VLSI parallel processing techniques. Neural Information Processing and VLSI systematically presents various neural network paradigms, computing architectures, and the associated electronic/optical implementations using efficient VLSI design methodologies. Conventional digital machines cannot perform computationally-intensive tasks with satisfactory performance in such areas as intelligent perception, including visual and auditory signal processing, recognition, understanding, and logical reasoning (where the human being and even a small living animal can do a superb job). Recent research advances in artificial and biological neural networks have established an important foundation for high-performance information processing with more efficient use of computing resources. The secret lies in the design optimization at various levels of computing and communication of intelligent machines. Each neural network system consists of massively paralleled and distributed signal processors with every processor performing very simple operations, thus consuming little power. Large computational capabilities of these systems in the range of some hundred giga to several tera operations per second are derived from collectively parallel processing and efficient data routing, through well-structured interconnection networks. Deep-submicron very large-scale integration (VLSI) technologies can integrate tens of millions of transistors in a single silicon chip for complex signal processing and information manipulation. The book is suitable for those interested in efficient neurocomputing as well as those curious about neural network system applications. It has been especially prepared for use as a text for advanced undergraduate and first year graduate students, and is an excellent reference book for researchers and scientists working in the fields covered.

Advances in Neural Networks - ISNN 2009

6th International Symposium on Neural Networks, ISNN 2009 Wuhan, China, May 26-29, 2009 Proceedings

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Author: Wen Yu,Haibo He,Nian Zhang

Publisher: Springer Science & Business Media

ISBN: 3642015069

Category: Computers

Page: 1221

View: 2904

The three volume set LNCS 5551/5552/5553 constitutes the refereed proceedings of the 6th International Symposium on Neural Networks, ISNN 2009, held in Wuhan, China in May 2009. The 409 revised papers presented were carefully reviewed and selected from a total of 1.235 submissions. The papers are organized in 20 topical sections on theoretical analysis, stability, time-delay neural networks, machine learning, neural modeling, decision making systems, fuzzy systems and fuzzy neural networks, support vector machines and kernel methods, genetic algorithms, clustering and classification, pattern recognition, intelligent control, optimization, robotics, image processing, signal processing, biomedical applications, fault diagnosis, telecommunication, sensor network and transportation systems, as well as applications.