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Author : Ibrahim Khaleel Suhrawardy
Publisher :
ISBN 13 :
Total Pages : 118 pages
Book Rating : 4.:/5 (27 download)
Download or read book Electronic Implementation of Hopfield Type Neural Networks written by Ibrahim Khaleel Suhrawardy and published by . This book was released on 1991 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Mona E. Zaghloul
Publisher : Springer Science & Business Media
ISBN 13 : 1461526809
Total Pages : 293 pages
Book Rating : 4.4/5 (615 download)
Download or read book Silicon Implementation of Pulse Coded Neural Networks written by Mona E. Zaghloul and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: When confronted with the hows and whys of nature's computational engines, some prefer to focus upon neural function: addressing issues of neural system behavior and its relation to natural intelligence. Then there are those who prefer the study of the "mechanics" of neural systems: the nuts and bolts of the "wetware": the neurons and synapses. Those who investigate pulse coded implementations ofartificial neural networks know what it means to stand at the boundary which lies between these two worlds: not just asking why natural neural systems behave as they do, but also how they achieve their marvelous feats. The research results presented in this book not only address more conventional abstract notions of neural-like processing, but also the more specific details ofneural-like processors. It has been established for some time that natural neural systems perform a great deal of information processing via electrochemical pulses. Accordingly, pulse coded neural network concepts are receiving increased attention in artificial neural network research. This increased interest is compounded by continuing advances in the field of VLSI circuit design. This is the first time in history in which it is practical to construct networks of neuron-like circuits of reasonable complexity that can be applied to real problems. We believe that the pioneering work in artificial neural systems presented in this book will lead to further advances that will not only be useful in some practical sense, but may also provide some additional insight into the operation of their natural counterparts.
Author : Wulfram Gerstner
Publisher : Cambridge University Press
ISBN 13 : 1107060834
Total Pages : 591 pages
Book Rating : 4.1/5 (7 download)
Download or read book Neuronal Dynamics written by Wulfram Gerstner and published by Cambridge University Press. This book was released on 2014-07-24 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.
Author : Amos R. Omondi
Publisher : Springer Science & Business Media
ISBN 13 : 0387284877
Total Pages : 365 pages
Book Rating : 4.3/5 (872 download)
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.
Author : Bhupendra S. Bhakta
Publisher :
ISBN 13 :
Total Pages : 202 pages
Book Rating : 4.:/5 (244 download)
Download or read book Electronic Implementation of Neural Networks written by Bhupendra S. Bhakta and published by . This book was released on 1991 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Nitta, Tohru
Publisher : IGI Global
ISBN 13 : 1605662151
Total Pages : 504 pages
Book Rating : 4.6/5 (56 download)
Download or read book Complex-Valued Neural Networks: Utilizing High-Dimensional Parameters written by Nitta, Tohru and published by IGI Global. This book was released on 2009-02-28 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book covers the current state-of-the-art theories and applications of neural networks with high-dimensional parameters"--Provided by publisher.
Author : Amit Parasmal Borundiya
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (233 download)
Download or read book Implementation of Hopfield Neural Network Using Double Gate MOSFET written by Amit Parasmal Borundiya and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Bo Ling
Publisher :
ISBN 13 :
Total Pages : 246 pages
Book Rating : 4.3/5 (129 download)
Download or read book Analysis and Implementation of Continuous-time Feedback Neural Networks with Multiple-state Neurons written by Bo Ling and published by . This book was released on 1993 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Akira Hirose
Publisher : World Scientific Publishing Company Incorporated
ISBN 13 : 9789812384645
Total Pages : 363 pages
Book Rating : 4.3/5 (846 download)
Download or read book Complex-valued Neural Networks written by Akira Hirose and published by World Scientific Publishing Company Incorporated. This book was released on 2003 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, complex-valued neural networks have widened the scope of application in optoelectronics, imaging, remote sensing, quantum neural devices and systems, spatiotemporal analysis of physiological neural systems, and artificial neural information processing. In this first-ever book on complex-valued neural networks, the most active scientists at the forefront of the field describe theories and applications from various points of view to provide academic and industrial researchers with a comprehensive understanding of the fundamentals, features and prospects of the powerful complex-valued networks.
Author : Gunter Mahler
Publisher : CRC Press
ISBN 13 : 1000148467
Total Pages : 424 pages
Book Rating : 4.0/5 (1 download)
Download or read book Molecular Electronics written by Gunter Mahler and published by CRC Press. This book was released on 2020-08-12 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integrating molecular physics and information theory, this work presents molecular electronics as a method for information storage and retrieval that incorporates nanometer-scaled systems, uses microscopic particles and exploits the laws of quantum mechanics. It furnishes application examples employing properties of distinct molecules joined together to a macroscopic ensemble of virtually identical units.
Author : Barry L. Shoop
Publisher : Springer
ISBN 13 : 3540444084
Total Pages : 341 pages
Book Rating : 4.5/5 (44 download)
Download or read book Photonic Analog-to-Digital Conversion written by Barry L. Shoop and published by Springer. This book was released on 2012-11-02 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a comprehensive look at the application of photonic approaches to the problem of analog-to-digital conversion. It looks into the progress made to date, discusses present research, and presents a glimpse of potential future technologies.
Author : Nirwan Ansari
Publisher : Allied Publishers
ISBN 13 : 9788170235217
Total Pages : 396 pages
Book Rating : 4.2/5 (352 download)
Download or read book Neural Networks in Telecommunications written by Nirwan Ansari and published by Allied Publishers. This book was released on 1994 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Chih Kang Cheng
Publisher :
ISBN 13 :
Total Pages : 108 pages
Book Rating : 4.:/5 (341 download)
Download or read book Hardware Implementation of the Complex Hopfield Neural Network written by Chih Kang Cheng and published by . This book was released on 1995 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Wassim Mansour
Publisher :
ISBN 13 :
Total Pages : 90 pages
Book Rating : 4.:/5 (11 download)
Download or read book Efficient Implementation of Hopfield Neural Network on FPGA written by Wassim Mansour and published by . This book was released on 2007 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jose G. Delgado-Frias
Publisher : Springer Science & Business Media
ISBN 13 : 1489913319
Total Pages : 318 pages
Book Rating : 4.4/5 (899 download)
Download or read book VLSI for Neural Networks and Artificial Intelligence written by Jose G. Delgado-Frias and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural network and artificial intelligence algorithrns and computing have increased not only in complexity but also in the number of applications. This in turn has posed a tremendous need for a larger computational power that conventional scalar processors may not be able to deliver efficiently. These processors are oriented towards numeric and data manipulations. Due to the neurocomputing requirements (such as non-programming and learning) and the artificial intelligence requirements (such as symbolic manipulation and knowledge representation) a different set of constraints and demands are imposed on the computer architectures/organizations for these applications. Research and development of new computer architectures and VLSI circuits for neural networks and artificial intelligence have been increased in order to meet the new performance requirements. This book presents novel approaches and trends on VLSI implementations of machines for these applications. Papers have been drawn from a number of research communities; the subjects span analog and digital VLSI design, computer design, computer architectures, neurocomputing and artificial intelligence techniques. This book has been organized into four subject areas that cover the two major categories of this book; the areas are: analog circuits for neural networks, digital implementations of neural networks, neural networks on multiprocessor systems and applications, and VLSI machines for artificial intelligence. The topics that are covered in each area are briefly introduced below.
Author : Ben Yuhas
Publisher : Springer Science & Business Media
ISBN 13 : 1461527341
Total Pages : 374 pages
Book Rating : 4.4/5 (615 download)
Download or read book Neural Networks in Telecommunications written by Ben Yuhas and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Networks in Telecommunications consists of a carefully edited collection of chapters that provides an overview of a wide range of telecommunications tasks being addressed with neural networks. These tasks range from the design and control of the underlying transport network to the filtering, interpretation and manipulation of the transported media. The chapters focus on specific applications, describe specific solutions and demonstrate the benefits that neural networks can provide. By doing this, the authors demonstrate that neural networks should be another tool in the telecommunications engineer's toolbox. Neural networks offer the computational power of nonlinear techniques, while providing a natural path to efficient massively-parallel hardware implementations. In addition, the ability of neural networks to learn allows them to be used on problems where straightforward heuristic or rule-based solutions do not exist. Together these capabilities mean that neural networks offer unique solutions to problems in telecommunications. For engineers and managers in telecommunications, Neural Networks in Telecommunications provides a single point of access to the work being done by leading researchers in this field, and furnishes an in-depth description of neural network applications.
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Author : Nikil R. Pal
Publisher : Springer Science & Business Media
ISBN 13 : 3540239316
Total Pages : 1397 pages
Book Rating : 4.5/5 (42 download)
Download or read book Neural information processing [electronic resource] written by Nikil R. Pal and published by Springer Science & Business Media. This book was released on 2004-11-18 with total page 1397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation This book constitutes the refereed proceedings of the 11th International Conference on Neural Information Processing, ICONIP 2004, held in Calcutta, India in November 2004. The 186 revised papers presented together with 24 invited contributions were carefully reviewed and selected from 470 submissions. The papers are organized in topical sections on computational neuroscience, complex-valued neural networks, self-organizing maps, evolutionary computation, control systems, cognitive science, adaptive intelligent systems, biometrics, brain-like computing, learning algorithms, novel neural architectures, image processing, pattern recognition, neuroinformatics, fuzzy systems, neuro-fuzzy systems, hybrid systems, feature analysis, independent component analysis, ant colony, neural network hardware, robotics, signal processing, support vector machine, time series prediction, and bioinformatics.
