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Author :
Publisher :
ISBN 13 :
Total Pages : 106 pages
Book Rating : 4.:/5 (817 download)
Download or read book Reconfigurable Back Propagation Neural Network Implementation for FPGA. written by and published by . This book was released on 2008 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jaber Salem
Publisher :
ISBN 13 :
Total Pages : 160 pages
Book Rating : 4.:/5 (878 download)
Download or read book A Simple FPGA-based Architecture Design of Reconfigurable Neural Network written by Jaber Salem and published by . This book was released on 2013 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: In contrast with analog design, digital design and implementation of any logic circuit suffer much from the difficulty in terms of economy and implementation. Neural networks are artificial systems inspired by the brain's cognitive behavior, which can learn tasks with some degree of complexity, such as, optimization problems, text and speech recognition. Since the topology of neural networks is highly crucial to the performance, the reconfigurable ability of the neural network hardware is very essential. Reconfigurability factually means several different designs can be implemented on a single architecture. Therefore, this work proposes an efficient architecture to implement the reconfigurable back propagation and Hopfield neural networks. We specifically adopted the reconfigurable artificial neural networks approach to show how it is possible to build an efficient chip. Simple neural network models with an appropriate training were used to behave as traditional logic functions in the bit- level. In order to further reduce the hardware, memories-sharing method has been adopted. Also, a comparison between the proposed and traditional networks shows that the proposed network has significantly reduced the time delay and power consumption. Xilinx - ISE is used to synthesize our design. VHDL code is used to build the architecture. The architecture code is then downloaded to FPGAs (Field Programmable Gate Array) to implement the design. FPGAs are strong tools to implement ANNs as one can exploit concurrency and rapidly reconfigure to adapt the weights and topologies of an ANN. Also, XPower, as one of the best tools in Xilinx, was used to measure the total required power by our architecture. Finally, the results showed that the proposed reconfigurable architecture leads to a considerable decrease in the consumed power to almost 43% as well as the total time delay. Also, the architecture can easily be scalable as a future work and is able to cope with several network sizes with the same hardware.
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.
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Publisher :
ISBN 13 :
Total Pages : 54 pages
Book Rating : 4.:/5 (12 download)
Download or read book FPGA Implementation of Backpropagation Algorithm of Artificial Neural Networks written by and published by . This book was released on 2017 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: Back-Propagation (BP) Algorithm is one of the efficient learning algorithms for the training of Artificial Neural Networks (ANN). The efficient hardware implementation of the BP Algorithm can find its application in the broad field of applications. The common computing platforms to build the BP algorithm based ANN Systems are Application Specific Integrated Circuits (ASICs) and General-Purpose Processors (GPP) based computers. However, due to a high demand of maintaining a trade-off between performance and flexibility, such computing machines become a bottleneck for further advanced improvements. In the last few decades, there has been significant progress in the field of Field Programmable Gate Arrays (FPGAs), which are based on the reconfigurable hardware platform. One of the main advantages of FPGAs are its flexibility, it is possible to reprogram the same hardware and achieve good performance by allowing parallel computation at the same time. The focus of this thesis is to implement the BP algorithm based ANN system on reconfigurable platform(FPGA). The proposed designs are coded on the software platform, MATLAB and in Verilog Hardware Description Language (Verilog HDL) on FPGA and synthesized on artix-7 FPGA evaluation kit. The validation of the design is verified on two benchmarks and comparisons are observed and discussed between two platforms.
Author : Vanderlei Bonato
Publisher : Springer
ISBN 13 : 331930481X
Total Pages : 374 pages
Book Rating : 4.3/5 (193 download)
Download or read book Applied Reconfigurable Computing written by Vanderlei Bonato and published by Springer. This book was released on 2016-03-15 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International Symposium on Applied Reconfigurable Computing, ARC 2016, held in Rio de Janeiro, Brazil, in March 2016. The 20 full papers presented in this volume were carefully reviewed and selected from 47 submissions. They are organized in topical headings named: video and image processing; fault-tolerant systems; tools and architectures; signal processing; and multicore systems. In addition, the book contains 3 invited papers and 8 poster papers on funded RD running and completed projects.
Author : Scott Hauck
Publisher : Elsevier
ISBN 13 : 0080556019
Total Pages : 945 pages
Book Rating : 4.0/5 (85 download)
Download or read book Reconfigurable Computing written by Scott Hauck and published by Elsevier. This book was released on 2010-07-26 with total page 945 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reconfigurable Computing marks a revolutionary and hot topic that bridges the gap between the separate worlds of hardware and software design— the key feature of reconfigurable computing is its groundbreaking ability to perform computations in hardware to increase performance while retaining the flexibility of a software solution. Reconfigurable computers serve as affordable, fast, and accurate tools for developing designs ranging from single chip architectures to multi-chip and embedded systems. Scott Hauck and Andre DeHon have assembled a group of the key experts in the fields of both hardware and software computing to provide an introduction to the entire range of issues relating to reconfigurable computing. FPGAs (field programmable gate arrays) act as the “computing vehicles to implement this powerful technology. Readers will be guided into adopting a completely new way of handling existing design concerns and be able to make use of the vast opportunities possible with reconfigurable logic in this rapidly evolving field. Designed for both hardware and software programmers Views of reconfigurable programming beyond standard programming languages Broad set of case studies demonstrating how to use FPGAs in novel and efficient ways
Author : Peter Y.K. Cheung
Publisher : Springer Science & Business Media
ISBN 13 : 3540408223
Total Pages : 1204 pages
Book Rating : 4.5/5 (44 download)
Download or read book Field-Programmable Logic and Applications written by Peter Y.K. Cheung and published by Springer Science & Business Media. This book was released on 2003-08-27 with total page 1204 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th International Conference on Field-Programmable Logic and Applications, FPL 2003, held in Lisbon, Portugal in September 2003. The 90 revised full papers and 56 revised poster papers presented were carefully reviewed and selected from 216 submissions. The papers are organized in topical sections on technologies and trends, communications applications, high level design tools, reconfigurable architecture, cryptographic applications, multi-context FPGAs, low-power issues, run-time reconfiguration, compilation tools, asynchronous techniques, bio-related applications, codesign, reconfigurable fabrics, image processing applications, SAT techniques, application-specific architectures, DSP applications, dynamic reconfiguration, SoC architectures, emulation, cache design, arithmetic, bio-inspired design, SoC design, cellular applications, fault analysis, and network applications.
Author : Koen Bertels
Publisher : Springer
ISBN 13 : 3540368639
Total Pages : 484 pages
Book Rating : 4.5/5 (43 download)
Download or read book Reconfigurable Computing: Architectures and Applications written by Koen Bertels and published by Springer. This book was released on 2006-08-03 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the Second International Workshop on Reconfigurable Computing, ARC 2006, held in Delft, The Netherlands, in March 2006. The 22 revised full papers and 35 revised short papers presented were thoroughly reviewed and selected from 95 submissions. The papers are organized in topical sections on applications, power, image processing, organization and architecture, networks and communication, security, and tools.
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Author : Kristian Robert Nichols
Publisher : National Library of Canada = Bibliothèque nationale du Canada
ISBN 13 : 9780612906792
Total Pages : 225 pages
Book Rating : 4.9/5 (67 download)
Download or read book A Reconfigurable Computing Architecture for Implementing Artificial Neural Networks on FPGA [microform] written by Kristian Robert Nichols and published by National Library of Canada = Bibliothèque nationale du Canada. This book was released on 2004 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ke-Lin Du
Publisher : Springer Nature
ISBN 13 : 1447174526
Total Pages : 988 pages
Book Rating : 4.4/5 (471 download)
Download or read book Neural Networks and Statistical Learning written by Ke-Lin Du and published by Springer Nature. This book was released on 2019-09-12 with total page 988 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework. A single, comprehensive resource for study and further research, it explores the major popular neural network models and statistical learning approaches with examples and exercises and allows readers to gain a practical working understanding of the content. This updated new edition presents recently published results and includes six new chapters that correspond to the recent advances in computational learning theory, sparse coding, deep learning, big data and cloud computing. Each chapter features state-of-the-art descriptions and significant research findings. The topics covered include: • multilayer perceptron; • the Hopfield network; • associative memory models;• clustering models and algorithms; • t he radial basis function network; • recurrent neural networks; • nonnegative matrix factorization; • independent component analysis; •probabilistic and Bayesian networks; and • fuzzy sets and logic. Focusing on the prominent accomplishments and their practical aspects, this book provides academic and technical staff, as well as graduate students and researchers with a solid foundation and comprehensive reference on the fields of neural networks, pattern recognition, signal processing, and machine learning.
Author : John Schewel
Publisher : SPIE-International Society for Optical Engineering
ISBN 13 :
Total Pages : 238 pages
Book Rating : 4.3/5 (91 download)
Download or read book Field Programmable Gate Arrays (FPGAs) for Fast Board Development and Reconfigurable Computing written by John Schewel and published by SPIE-International Society for Optical Engineering. This book was released on 1995 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Anuradha D. Thakare
Publisher : John Wiley & Sons
ISBN 13 : 1119857872
Total Pages : 245 pages
Book Rating : 4.1/5 (198 download)
Download or read book Artificial Intelligence Applications and Reconfigurable Architectures written by Anuradha D. Thakare and published by John Wiley & Sons. This book was released on 2023-02-14 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: ARTIFICIAL INTELLIGENCE APPLICATIONS and RECONFIGURABLE ARCHITECTURES The primary goal of this book is to present the design, implementation, and performance issues of AI applications and the suitability of the FPGA platform. This book covers the features of modern Field Programmable Gate Arrays (FPGA) devices, design techniques, and successful implementations pertaining to AI applications. It describes various hardware options available for AI applications, key advantages of FPGAs, and contemporary FPGA ICs with software support. The focus is on exploiting parallelism offered by FPGA to meet heavy computation requirements of AI as complete hardware implementation or customized hardware accelerators. This is a comprehensive textbook on the subject covering a broad array of topics like technological platforms for the implementation of AI, capabilities of FPGA, suppliers’ software tools and hardware boards, and discussion of implementations done by researchers to encourage the AI community to use and experiment with FPGA. Readers will benefit from reading this book because It serves all levels of students and researcher’s as it deals with the basics and minute details of Ecosystem Development Requirements for Intelligent applications with reconfigurable architectures whereas current competitors’ books are more suitable for understanding only reconfigurable architectures. It focuses on all aspects of machine learning accelerators for the design and development of intelligent applications and not on a single perspective such as only on reconfigurable architectures for IoT applications. It is the best solution for researchers to understand how to design and develop various AI, deep learning, and machine learning applications on the FPGA platform. It is the best solution for all types of learners to get complete knowledge of why reconfigurable architectures are important for implementing AI-ML applications with heavy computations. Audience Researchers, industrial experts, scientists, and postgraduate students who are working in the fields of computer engineering, electronics, and electrical engineering, especially those specializing in VLSI and embedded systems, FPGA, artificial intelligence, Internet of Things, and related multidisciplinary projects.
Author : José Mira
Publisher : Springer Science & Business Media
ISBN 13 : 3540263195
Total Pages : 659 pages
Book Rating : 4.5/5 (42 download)
Download or read book Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach written by José Mira and published by Springer Science & Business Media. This book was released on 2005-06-13 with total page 659 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 3561 and LNCS 3562 constitute the refereed proceedings of the First International Work-Conference on the Interplay between Natural and Artificial Computation, IWINAC 2005, held in Las Palmas, Canary Islands, Spain in June 2005. The 118 revised papers presented are thematically divided into two volumes; the first includes all the contributions mainly related with the methodological, conceptual, formal, and experimental developments in the fields of Neurophysiology and cognitive science. The second volume collects the papers related with bioinspired programming strategies and all the contributions related with the computational solutions to engineering problems in different application domains.
Author : Zhang, Ming
Publisher : IGI Global
ISBN 13 : 1615207120
Total Pages : 660 pages
Book Rating : 4.6/5 (152 download)
Download or read book Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications written by Zhang, Ming and published by IGI Global. This book was released on 2010-02-28 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book introduces and explains Higher Order Neural Networks (HONNs) to people working in the fields of computer science and computer engineering, and how to use HONNS in these areas"--Provided by publisher.
Download or read book Chip Design of Reconfigurable Back Propagation Neural Network Processor written by and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Iouliia Skliarova
Publisher : Springer Nature
ISBN 13 : 3031556739
Total Pages : 311 pages
Book Rating : 4.0/5 (315 download)
Download or read book Applied Reconfigurable Computing. Architectures, Tools, and Applications written by Iouliia Skliarova and published by Springer Nature. This book was released on with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 216 pages
Book Rating : 4.3/5 (91 download)
Download or read book Proceedings written by and published by . This book was released on 1994 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt:
