Cellular Neural Networks And Analog Vlsi
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Cellular Neural Networks And Analog Vlsi
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Author : Leon Chua
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
Cellular Neural Networks And Analog Vlsi written by Leon Chua 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 2013-03-09 with Technology & Engineering categories.
Cellular Neural Networks and Analog VLSI brings together in one place important contributions and up-to-date research results in this fast moving area. Cellular Neural Networks and Analog VLSI serves as an excellent reference, providing insight into some of the most challenging research issues in the field.
Cellular Neural Networks
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Author : Gabriele Manganaro
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Cellular Neural Networks written by Gabriele Manganaro 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 2012-12-06 with Computers categories.
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.
Neural Information Processing And Vlsi
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Author : Bing J. Sheu
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Neural Information Processing And Vlsi written by Bing J. Sheu 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 2012-12-06 with Technology & Engineering categories.
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.
Towards The Visual Microprocessor
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Author : Tamás Roska
language : en
Publisher: John Wiley & Sons
Release Date : 2001-01-17
Towards The Visual Microprocessor written by Tamás Roska 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 2001-01-17 with Computers categories.
Written by a group of leading researchers in the field, this is a pioneering work, providing a concise analysis of the topic by the inventors of the CNN universal machine and the supercomputer chip. Opening with a foreword by the respected academic, Professor Leon Chua, the book progresses to explore circuit design, prototyping and analogical algorithms. Subjects covered include the VLSI design and implementation of CNNs, the testing of CNN chips and a detailed analysis of the new system for prototyping and interfacing the CNN universal chips ? Includes applications in: Neurocomputing, Machine Vision, Image Processing and VLSI Signal Processing ? Provides simple algorithms to design and synthesise complex circuits ? Written and edited by world authorities in this field, including Leon Chua who invented CNNs in the late 1980s. This text follows on from Roska's previous success - Cellular Neural Networks and D3 - with this groundbreaking work about a rapidly developing and increasingly influential field of circuit theory. This text would be of great interest to a broad audience including postgraduate and advanced students, researchers and professionals in electrical and electronic engineering, computer science, mathematics and neurobiology.
Cellular Neural Networks And Anlog Vlsi
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Author :
language : en
Publisher:
Release Date : 1998
Cellular Neural Networks And Anlog Vlsi written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with categories.
Vlsi Implementation Of Cellular Neural Networks
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Author : Jose M. Cruz-Moreno
language : en
Publisher:
Release Date : 1996
Vlsi Implementation Of Cellular Neural Networks written by Jose M. Cruz-Moreno and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Integrated circuits categories.
Proceedings
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Author :
language : en
Publisher:
Release Date : 2005
Proceedings written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Neural networks (Computer science) categories.
Analog Vlsi Integration Of Massive Parallel Signal Processing Systems
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Author : Peter Kinget
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29
Analog Vlsi Integration Of Massive Parallel Signal Processing Systems written by Peter Kinget 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 2013-06-29 with Technology & Engineering categories.
When comparing conventional computing architectures to the architectures of biological neural systems, we find several striking differences. Conventional computers use a low number of high performance computing elements that are programmed with algorithms to perform tasks in a time sequenced way; they are very successful in administrative applications, in scientific simulations, and in certain signal processing applications. However, the biological systems still significantly outperform conventional computers in perception tasks, sensory data processing and motory control. Biological systems use a completely dif ferent computing paradigm: a massive network of simple processors that are (adaptively) interconnected and operate in parallel. Exactly this massively parallel processing seems the key aspect to their success. On the other hand the development of VLSI technologies provide us with technological means to implement very complicated systems on a silicon die. Especially analog VLSI circuits in standard digital technologies open the way for the implement at ion of massively parallel analog signal processing systems for sensory signal processing applications and for perception tasks. In chapter 1 the motivations behind the emergence of the analog VLSI of massively parallel systems is discussed in detail together with the capabilities and !imitations of VLSI technologies and the required research and developments. Analog parallel signal processing drives for the development of very com pact, high speed and low power circuits. An important technologicallimitation in the reduction of the size of circuits and the improvement of the speed and power consumption performance is the device inaccuracies or device mismatch.
Adaptive Analog Vlsi Neural Systems
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Author : M. Jabri
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Adaptive Analog Vlsi Neural Systems written by M. Jabri 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 2012-12-06 with Computers categories.
Adaptive Analog VLSI Neural Systems is the first practical book on neural networks learning chips and systems. It covers the entire process of implementing neural networks in VLSI chips, beginning with the crucial issues of learning algorithms in an analog framework and limited precision effects, and giving actual case studies of working systems. The approach is systems and applications oriented throughout, demonstrating the attractiveness of such an approach for applications such as adaptive pattern recognition and optical character recognition. Dr Jabri and his co-authors from AT&T Bell Laboratories, Bellcore and the University of Sydney provide a comprehensive introduction to VLSI neural networks suitable for research and development staff and advanced students.
Cellular Neural Networks
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Author : Tamás Roska
language : en
Publisher: Wiley
Release Date : 1994-01-25
Cellular Neural Networks written by Tamás Roska and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-01-25 with Computers categories.
Cellular Neural Networks Edited by T. Roska, Computer & Automation Institute, Hungarian Academy of Sciences J. Vandewalle, Katholieke Universiteit Leuven, Belgium Written by a team of well-known researchers, this unique book and software package covers all the recent developments in, and applications of, cellular neural networks. The text is divided into four sections, detailing the theory, VLSI realization, design tools and applications of CNNs. Features include: The design of high-speed, high-density CNNs in CMOS technology. Testability in analogue cellular neural networks. The practical applications of CNNs including the detection of moving and stationary objects, and the use of cellular neural networks for solving specific image-processing problems. A versatile CNN software simulator accompanies the book. Designed for standard PCs under MS DOS, this user-friendly program allows users to visualize and test their own ideas. The 3.5" disk and user’s manual form an essential part of this package. The wide-ranging applications of cellular neural networks and the ease of VLSI implementation have ensured that CNNs are now a major new research area. This comprehensive package will provide valuable guidance for advanced students and researchers in electrical and electronic engineering and computer science. Neurobilogists and mathematicians will also find the package appealing.
