Cellular Neural Networks

Cellular Neural Networks

Author: Gabriele Manganaro

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 280

ISBN-13: 3642600441

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The field of cellular neural networks (CNNs) is of growing importance in non linear circuits and systems and it is maturing to the point of becoming a new area of study in general nonlinear theory. CNNs emerged through two semi nal papers co-authored by Professor Leon O. Chua back in 1988. Since then, the attention that CNNs have attracted in the scientific community has been vast. For instance, there are international workshops dedicated to CNNs and their applications, special issues published in both the International Journal of Circuit Theory and in the IEEE Transactions on Circuits and Systems, and there are also Associate Editors appointed in the latter journal especially for the CNN field. All of this bears witness the importance that CNNs are gaining within the scientific community. Without doubt this book is a primer in the field. Its extensive coverage provides the reader with a very comprehensive view of aspects involved in the theory and applications of cellular neural networks. The authors have done an excellent job merging basic CNN theory, synchronization, spatio temporal phenomena and hardware implementation into eight exquisitely written chapters. Each chapter is thoroughly illustrated with examples and case studies. The result is a book that is not only excellent as a professional reference but also very appealing as a textbook. My view is that students as well professional engineers will find this volume extremely useful.


Reconfigurable Cellular Neural Networks and Their Applications

Reconfigurable Cellular Neural Networks and Their Applications

Author: Müştak E. Yalçın

Publisher: Springer

Published: 2019-04-15

Total Pages: 79

ISBN-13: 3030178404

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This book explores how neural networks can be designed to analyze sensory data in a way that mimics natural systems. It introduces readers to the cellular neural network (CNN) and formulates it to match the behavior of the Wilson–Cowan model. In turn, two properties that are vital in nature are added to the CNN to help it more accurately deliver mimetic behavior: randomness of connection, and the presence of different dynamics (excitatory and inhibitory) within the same network. It uses an ID matrix to determine the location of excitatory and inhibitory neurons, and to reconfigure the network to optimize its topology. The book demonstrates that reconfiguring a single-layer CNN is an easier and more flexible solution than the procedure required in a multilayer CNN, in which excitatory and inhibitory neurons are separate, and that the key CNN criteria of a spatially invariant template and local coupling are fulfilled. In closing, the application of the authors’ neuron population model as a feature extractor is exemplified using odor and electroencephalogram classification.


Universality and Emergent Computation in Cellular Neural Networks

Universality and Emergent Computation in Cellular Neural Networks

Author: Radu Dogaru

Publisher: World Scientific

Published: 2003

Total Pages: 262

ISBN-13: 9812381023

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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.


Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition

Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition

Author: Patricia Melin

Publisher: Springer

Published: 2009-11-19

Total Pages: 258

ISBN-13: 3642045162

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Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition comprises papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems. The articles are divided into four main parts. The first one consists of papers that propose new fuzzy and bio-inspired models to solve general problems. The second part deals with the main theme of modular neural networks in pattern recognition, which are basically papers using bio-inspired techniques. The third part contains papers that apply hybrid intelligent systems to the problem of time series analysis and prediction, while the fourth one shows papers dealing with bio-inspired models in optimization and robotics applications. An edited book in which both theoretical and application aspects are covered.


Artificial Neural Nets. Problem Solving Methods

Artificial Neural Nets. Problem Solving Methods

Author: José Mira

Publisher: Springer Science & Business Media

Published: 2003-05-22

Total Pages: 845

ISBN-13: 354040211X

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The two-volume set LNCS 2686 and LNCS 2687 constitute the refereed proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003, held in Maó, Menorca, Spain in June 2003. The 197 revised papers presented were carefully reviewed and selected for inclusion in the book and address the following topics: mathematical and computational methods in neural modelling, neurophysiological data analysis and modelling, structural and functional models of neurons, learning and other plasticity phenomena, complex systems dynamics, cognitive processes and artificial intelligence, methodologies for net design, bio-inspired systems and engineering, and applications in a broad variety of fields.


Chips 2020

Chips 2020

Author: Bernd Hoefflinger

Publisher: Springer Science & Business Media

Published: 2012-01-19

Total Pages: 497

ISBN-13: 3642223990

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The chips in present-day cell phones already contain billions of sub-100-nanometer transistors. By 2020, however, we will see systems-on-chips with trillions of 10-nanometer transistors. But this will be the end of the miniaturization, because yet smaller transistors, containing just a few control atoms, are subject to statistical fluctuations and thus no longer useful. We also need to worry about a potential energy crisis, because in less than five years from now, with current chip technology, the internet alone would consume the total global electrical power! This book presents a new, sustainable roadmap towards ultra-low-energy (femto-Joule), high-performance electronics. The focus is on the energy-efficiency of the various chip functions: sensing, processing, and communication, in a top-down spirit involving new architectures such as silicon brains, ultra-low-voltage circuits, energy harvesting, and 3D silicon technologies. Recognized world leaders from industry and from the research community share their views of this nanoelectronics future. They discuss, among other things, ubiquitous communication based on mobile companions, health and care supported by autonomous implants and by personal carebots, safe and efficient mobility assisted by co-pilots equipped with intelligent micro-electromechanical systems, and internet-based education for a billion people from kindergarden to retirement. This book should help and interest all those who will have to make decisions associated with future electronics: students, graduates, educators, and researchers, as well as managers, investors, and policy makers. Introduction: Towards Sustainable 2020 Nanoelectronics.- From Microelectronics to Nanoelectronics.- The Future of Eight Chip Technologies.- Analog–Digital Interfaces.- Interconnects and Transceivers.- Requirements and Markets for Nanoelectronics.- ITRS: The International Technology Roadmap for Semiconductors.- Nanolithography.- Power-Efficient Design Challenges.- Superprocessors and Supercomputers.- Towards Terabit Memories.- 3D Integration for Wireless Multimedia.- The Next-Generation Mobile User-Experience.- MEMS (Micro-Electro-Mechanical Systems) for Automotive and Consumer.- Vision Sensors and Cameras.- Digital Neural Networks for New Media.- Retinal Implants for Blind Patients.- Silicon Brains.- Energy Harvesting and Chip Autonomy.- The Energy Crisis.- The Extreme-Technology Industry.- Education and Research for the Age of Nanoelectronics.- 2020 World with Chips.


Artificial Neural Networks - ICANN 2007

Artificial Neural Networks - ICANN 2007

Author: Joaquim Marques de Sá

Publisher: Springer

Published: 2007-09-14

Total Pages: 999

ISBN-13: 3540746900

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This book is the first of a two-volume set that constitutes the refereed proceedings of the 17th International Conference on Artificial Neural Networks, ICANN 2007, held in Porto, Portugal, September 2007. Coverage includes advances in neural network learning methods, advances in neural network architectures, neural dynamics and complex systems, data analysis, evolutionary computing, agents learning, as well as temporal synchronization and nonlinear dynamics in neural networks.


Computational Methods in Neural Modeling

Computational Methods in Neural Modeling

Author: José Mira

Publisher: Springer Science & Business Media

Published: 2003-05-22

Total Pages: 781

ISBN-13: 3540402101

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The two-volume set LNCS 2686 and LNCS 2687 constitute the refereed proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003, held in Maó, Menorca, Spain in June 2003. The 197 revised papers presented were carefully reviewed and selected for inclusion in the book and address the following topics: mathematical and computational methods in neural modelling, neurophysiological data analysis and modelling, structural and functional models of neurons, learning and other plasticity phenomena, complex systems dynamics, cognitive processes and artificial intelligence, methodologies for net design, bio-inspired systems and engineering, and applications in a broad variety of fields.


Nanotechnology for Electronics, Photonics, and Renewable Energy

Nanotechnology for Electronics, Photonics, and Renewable Energy

Author: Anatoli Korkin

Publisher: Springer Science & Business Media

Published: 2010-12-14

Total Pages: 279

ISBN-13: 1441974547

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Tutorial lectures given by world-renowned researchers have become one of the important traditions of the Nano and Giga Challenges (NGC) conference series. 1 Soon after preparations had begun for the rst forum, NGC2002, in Moscow, Russia, the organizers realized that publication of the lectures notes would be a va- able legacy of the meeting and a signi cant educational resource and knowledge base for students, young researchers, and senior experts. Our rst book was p- lished by Elsevier and received the same title as the meeting itself—Nano and Giga 2 Challenges in Microelectronics. Our second book, Nanotechnology for Electronic 3 4 Materials and Devices, based on the tutorial lectures at NGC2004 in Krakow, 5 Poland, the third book from NGC2007 in Phoenix, Arizona, and the current book 6 from joint NGC2009 and CSTC2009 meeting in Hamilton, Ontario, have been published in Springer’s Nanostructure Science and Technology series. Hosted by McMaster University, the meeting NGC/CSTC 2009 was held as a joint event of two conference series, Nano and Giga Challenges (Nano & Giga Forum) and Canadian Semiconductor Technology Conferences (CSTC), bringing together the networks and expertise of both professional forums. Informational (electronics and photonics), renewable energy (solar systems, fuel cells, and batteries), and sensor (nano and bio) technologies have reached a new stage in their development in terms of engineering limits to cost-effective impro- ment of current technological approaches. The latest miniaturization of electronic devices is approaching atomic dimensions.