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Parallel Digital Implementations Of Neural Networks
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Book Synopsis Parallel Digital Implementations of Neural Networks by : K. Wojtek Przytula
Download or read book Parallel Digital Implementations of Neural Networks written by K. Wojtek Przytula and published by Prentice Hall. This book was released on 1993 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explores issues related to implementing artificial neural networks on programmable, massively parallel computers, and special purpose digital, programmable VLSI architectures. The nine contributions cover mapping methodologies and implementations, digital neurocomputers, and architectural building blocks. Annotation copyright by Book News, Inc., Portland, OR
Book Synopsis Parallel Architectures for Artificial Neural Networks by : N. Sundararajan
Download or read book Parallel Architectures for Artificial Neural Networks written by N. Sundararajan and published by Wiley-IEEE Computer Society Press. This book was released on 1998-12-14 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: An excellent reference for neural networks research and application, this book covers the parallel implementation aspects of all major artificial neural network models in a single text. Parallel Architectures for Artificial Neural Networks details implementations on various processor architectures built on different hardware platforms, ranging from large, general purpose parallel computers to custom built MIMD machine. Working experts describe their implementation research including results that are then divided into three sections: The theoretical analysis of parallel implementation schemes on MIMD message passing machines The details of parallel implementation of BP neural networks on general purpose, large, parallel computers Four specific purpose parallel neural computer configuration Aimed at graduate students and researchers working in artificial neural networks and parallel computing this work can be used by graduate level educators to illustrate parallel computing methods for ANN simulation. Practitioners will also find the text an ideal reference tool for lucid mathematical analyses.
Book Synopsis Parallel Implementations Of Backpropagation Neural Networks On Transputers: A Study Of Training Set Parallelism by : P Saratchandran
Download or read book Parallel Implementations Of Backpropagation Neural Networks On Transputers: A Study Of Training Set Parallelism written by P Saratchandran and published by World Scientific. This book was released on 1996-07-04 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a systematic approach to parallel implementation of feedforward neural networks on an array of transputers. The emphasis is on backpropagation learning and training set parallelism. Using systematic analysis, a theoretical model has been developed for the parallel implementation. The model is used to find the optimal mapping to minimize the training time for large backpropagation neural networks. The model has been validated experimentally on several well known benchmark problems. Use of genetic algorithms for optimizing the performance of the parallel implementations is described. Guidelines for efficient parallel implementations are highlighted.
Book Synopsis FPGA Implementations of Neural Networks by : Amos R. Omondi
Download or read book FPGA Implementations of Neural Networks written by Amos R. Omondi and published by Springer Science & Business Media. This book was released on 2006-10-04 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the 1980s and early 1990s there was signi?cant work in the design and implementation of hardware neurocomputers. Nevertheless, most of these efforts may be judged to have been unsuccessful: at no time have have ha- ware neurocomputers been in wide use. This lack of success may be largely attributed to the fact that earlier work was almost entirely aimed at developing custom neurocomputers, based on ASIC technology, but for such niche - eas this technology was never suf?ciently developed or competitive enough to justify large-scale adoption. On the other hand, gate-arrays of the period m- tioned were never large enough nor fast enough for serious arti?cial-neur- network (ANN) applications. But technology has now improved: the capacity and performance of current FPGAs are such that they present a much more realistic alternative. Consequently neurocomputers based on FPGAs are now a much more practical proposition than they have been in the past. This book summarizes some work towards this goal and consists of 12 papers that were selected, after review, from a number of submissions. The book is nominally divided into three parts: Chapters 1 through 4 deal with foundational issues; Chapters 5 through 11 deal with a variety of implementations; and Chapter 12 looks at the lessons learned from a large-scale project and also reconsiders design issues in light of current and future technology.
Book Synopsis Neural Network Parallel Computing by : Yoshiyasu Takefuji
Download or read book Neural Network Parallel Computing written by Yoshiyasu Takefuji and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Network Parallel Computing is the first book available to the professional market on neural network computing for optimization problems. This introductory book is not only for the novice reader, but for experts in a variety of areas including parallel computing, neural network computing, computer science, communications, graph theory, computer aided design for VLSI circuits, molecular biology, management science, and operations research. The goal of the book is to facilitate an understanding as to the uses of neural network models in real-world applications. Neural Network Parallel Computing presents a major breakthrough in science and a variety of engineering fields. The computational power of neural network computing is demonstrated by solving numerous problems such as N-queen, crossbar switch scheduling, four-coloring and k-colorability, graph planarization and channel routing, RNA secondary structure prediction, knight's tour, spare allocation, sorting and searching, and tiling. Neural Network Parallel Computing is an excellent reference for researchers in all areas covered by the book. Furthermore, the text may be used in a senior or graduate level course on the topic.
Book Synopsis Digital Neural Networks by : Sun Yuan Kung
Download or read book Digital Neural Networks written by Sun Yuan Kung and published by Prentice Hall. This book was released on 1993 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intended for engineers and researchers interested in the applications of neural networks to signal and image processing, this book is theoretically based with emphasis on application and implementation. Coverage includes neural networks for representation, unsupervised networks for association/classification, neural networks for generalization/restoration, neural net and conventional optimization techniques, and special purpose supercomputers for neural nets.
Book Synopsis Electronic Implementations of Neural Networks by : Paul Taylor Wildes
Download or read book Electronic Implementations of Neural Networks written by Paul Taylor Wildes and published by . This book was released on 1988 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Parallel Algorithms for Digital Image Processing, Computer Vision and Neural Networks by : Ioannis Pitas
Download or read book Parallel Algorithms for Digital Image Processing, Computer Vision and Neural Networks written by Ioannis Pitas and published by . This book was released on 1993-04-09 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: World-renowned contributors present papers concerning algorithms used on the latest generation of parallel machines (MIMD). Details key applications running the gamut from medical imaging, visualization and remote sensing to HDTV, demonstrating the large computational complexity necessary to perform these tasks.
Book Synopsis VLSI — Compatible Implementations for Artificial Neural Networks by : Sied Mehdi Fakhraie
Download or read book VLSI — Compatible Implementations for Artificial Neural Networks written by Sied Mehdi Fakhraie and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces several state-of-the-art VLSI implementations of artificial neural networks (ANNs). It reviews various hardware approaches to ANN implementations: analog, digital and pulse-coded. The analog approach is emphasized as the main one taken in the later chapters of the book. The area of VLSI implementation of ANNs has been progressing for the last 15 years, but not at the fast pace originally predicted. Several reasons have contributed to the slow progress, with the main one being that VLSI implementation of ANNs is an interdisciplinaly area where only a few researchers, academics and graduate students are willing to venture. The work of Professors Fakhraie and Smith, presented in this book, is a welcome addition to the state-of-the-art and will greatly benefit researchers and students working in this area. Of particular value is the use of experimental results to backup extensive simulations and in-depth modeling. The introduction of a synapse-MOS device is novel. The book applies the concept to a number of applications and guides the reader through more possible applications for future work. I am confident that the book will benefit a potentially wide readership. M. I. Elmasry University of Waterloo Waterloo, Ontario Canada Preface Neural Networks (NNs), generally defined as parallel networks that employ a large number of simple processing elements to perform computation in a distributed fashion, have attracted a lot of attention in the past fifty years. As the result. many new discoveries have been made.
Book Synopsis Handbook of Neural Computation by : E Fiesler
Download or read book Handbook of Neural Computation written by E Fiesler and published by CRC Press. This book was released on 2020-01-15 with total page 1094 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Neural Computation is a practical, hands-on guide to the design and implementation of neural networks used by scientists and engineers to tackle difficult and/or time-consuming problems. The handbook bridges an information pathway between scientists and engineers in different disciplines who apply neural networks to similar probl
Book Synopsis Parallel Implementations of Backpropagation Neural Networks on Transputers by : P. Saratchandran
Download or read book Parallel Implementations of Backpropagation Neural Networks on Transputers written by P. Saratchandran and published by World Scientific. This book was released on 1996 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a systematic approach to parallel implementation of feedforward neural networks on an array of transputers. The emphasis is on backpropagation learning and training set parallelism. Using systematic analysis, a theoretical model has been developed for the parallel implementation. The model is used to find the optimal mapping to minimize the training time for large backpropagation neural networks. The model has been validated experimentally on several well known benchmark problems. Use of genetic algorithms for optimizing the performance of the parallel implementations is described. Guidelines for efficient parallel implementations are highlighted.
Book Synopsis Implementation of Neural Networks on Parallel Architectures by : Manavendra Misra
Download or read book Implementation of Neural Networks on Parallel Architectures written by Manavendra Misra and published by . This book was released on 1992 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :International Neural Network Society Publisher :Psychology Press ISBN 13 :9780805826081 Total Pages :1408 pages Book Rating :4.8/5 (26 download)
Book Synopsis WCNN'96, San Diego, California, U.S.A. by : International Neural Network Society
Download or read book WCNN'96, San Diego, California, U.S.A. written by International Neural Network Society and published by Psychology Press. This book was released on 1996 with total page 1408 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Neural Information Processing and VLSI by : Bing J. Sheu
Download or read book Neural Information Processing and VLSI written by Bing J. Sheu and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Proceedings of the International Conference on Application Specific Array Processors, September 2-4, 1991, Barcelona, Spain by : Mateo Valero
Download or read book Proceedings of the International Conference on Application Specific Array Processors, September 2-4, 1991, Barcelona, Spain written by Mateo Valero and published by . This book was released on 1991 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Conference on Application Specific Array Processors (ASAP 91) was held September 1991, in Barcelona, Spain. Application- specific computing may be the solution to many computationally intensive problems. Coverage here includes design, mapping techniques, synthesis and verification, and systolic array designs and design methodologies. No index. Annotation copyrighted by Book News, Inc., Portland, OR.
Book Synopsis Parallel Architectures And Neural Networks: Fourth Italian Workshop by : E R Caianiello
Download or read book Parallel Architectures And Neural Networks: Fourth Italian Workshop written by E R Caianiello and published by World Scientific. This book was released on 1991-11-12 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Organized and supported by IIASS and other Italian institutions, this Workshop in Vietri sul Mare has now become a permanent annual event. The aim is to foster closer links among all groups and individuals working in Europe in this inter- and multi-disciplinary area. Topics cover models, architectures and applications.
Book Synopsis VLSI Design of Neural Networks by : Ulrich Ramacher
Download or read book VLSI Design of Neural Networks written by Ulrich Ramacher and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: The early era of neural network hardware design (starting at 1985) was mainly technology driven. Designers used almost exclusively analog signal processing concepts for the recall mode. Learning was deemed not to cause a problem because the number of implementable synapses was still so low that the determination of weights and thresholds could be left to conventional computers. Instead, designers tried to directly map neural parallelity into hardware. The architectural concepts were accordingly simple and produced the so called interconnection problem which, in turn, made many engineers believe it could be solved by optical implementation in adequate fashion only. Furthermore, the inherent fault-tolerance and limited computation accuracy of neural networks were claimed to justify that little effort is to be spend on careful design, but most effort be put on technology issues. As a result, it was almost impossible to predict whether an electronic neural network would function in the way it was simulated to do. This limited the use of the first neuro-chips for further experimentation, not to mention that real-world applications called for much more synapses than could be implemented on a single chip at that time. Meanwhile matters have matured. It is recognized that isolated definition of the effort of analog multiplication, for instance, would be just as inappropriate on the part ofthe chip designer as determination of the weights by simulation, without allowing for the computing accuracy that can be achieved, on the part of the user.
