Neural Networks And Systolic Array Design

Author : Sankar K. Pal,David Zhang
Publisher : World Scientific
Page : 421 pages
File Size : 44,9 Mb
Release : 2002
Category : Computers
ISBN : 9789812778086

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Neural Networks and Systolic Array Design by Sankar K. Pal,David Zhang Pdf

Neural networks (NNs) and systolic arrays (SAs) have many similar features. This volume describes, in a unified way, the basic concepts, theories and characteristic features of integrating or formulating different facets of NNs and SAs, as well as presents recent developments and significant applications. The articles, written by experts from all over the world, demonstrate the various ways this integration can be made to efficiently design methodologies, algorithms and architectures, and also implementations, for NN applications. The book will be useful to graduate students and researchers in many related areas, not only as a reference book but also as a textbook for some parts of the curriculum. It will also benefit researchers and practitioners in industry and R&D laboratories who are working in the fields of system design, VLSI, parallel processing, neural networks, and vision.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 45,8 Mb
Release : 2024-05-19
Category : Electronic
ISBN : 9789814489478

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Neural Networks and Systolic Array Design by Anonim Pdf

Author : Jun Wang
Publisher : Springer Science & Business Media
Page : 1429 pages
File Size : 45,7 Mb
Release : 2006-05-11
Category : Computers
ISBN : 9783540344827

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Advances in Neural Networks - ISNN 2006 by Jun Wang Pdf

This is Volume III of a three volume set constituting the refereed proceedings of the Third International Symposium on Neural Networks, ISNN 2006. 616 revised papers are organized in topical sections on neurobiological analysis, theoretical analysis, neurodynamic optimization, learning algorithms, model design, kernel methods, data preprocessing, pattern classification, computer vision, image and signal processing, system modeling, robotic systems, transportation systems, communication networks, information security, fault detection, financial analysis, bioinformatics, biomedical and industrial applications, and more.

Author : Yoel Tenne,Chi-Keong Goh
Publisher : Springer Science & Business Media
Page : 412 pages
File Size : 46,9 Mb
Release : 2010-06-30
Category : Technology & Engineering
ISBN : 9783642127755

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Computational Intelligence in Optimization by Yoel Tenne,Chi-Keong Goh Pdf

This collection of recent studies spans a range of computational intelligence applications, emphasizing their application to challenging real-world problems. Covers Intelligent agent-based algorithms, Hybrid intelligent systems, Machine learning and more.

Author : Ulrich Ramacher,Ulrich Rückert
Publisher : Springer Science & Business Media
Page : 346 pages
File Size : 40,6 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461539940

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VLSI Design of Neural Networks by Ulrich Ramacher,Ulrich Rückert Pdf

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.

Author : Anonim
Publisher : Unknown
Page : 0 pages
File Size : 40,6 Mb
Release : 2023
Category : Electronic
ISBN : OCLC:1417259403

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System Architecture Exploration and Dataflow Model Design for Convolutional Neural Network Accelerator Based on Systolic Array by Anonim Pdf

Author : Vivienne Sze,Yu-Hsin Chen,Tien-Ju Yang,Joel S. Emer
Publisher : Springer Nature
Page : 254 pages
File Size : 42,5 Mb
Release : 2022-05-31
Category : Technology & Engineering
ISBN : 9783031017667

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Efficient Processing of Deep Neural Networks by Vivienne Sze,Yu-Hsin Chen,Tien-Ju Yang,Joel S. Emer Pdf

This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve key metrics—such as energy-efficiency, throughput, and latency—without sacrificing accuracy or increasing hardware costs are critical to enabling the wide deployment of DNNs in AI systems. The book includes background on DNN processing; a description and taxonomy of hardware architectural approaches for designing DNN accelerators; key metrics for evaluating and comparing different designs; features of DNN processing that are amenable to hardware/algorithm co-design to improve energy efficiency and throughput; and opportunities for applying new technologies. Readers will find a structured introduction to the field as well as formalization and organization of key concepts from contemporary work that provide insights that may spark new ideas.

Author : Wulfram Gerstner
Publisher : Springer Science & Business Media
Page : 1300 pages
File Size : 47,8 Mb
Release : 1997-09-29
Category : Computers
ISBN : 3540636315

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Artificial Neural Networks-Icann '97 by Wulfram Gerstner Pdf

Content Description #Includes bibliographical references and index.

Author : Amos R. Omondi,Jagath C. Rajapakse
Publisher : Springer Science & Business Media
Page : 365 pages
File Size : 55,7 Mb
Release : 2006-10-04
Category : Technology & Engineering
ISBN : 9780387284873

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FPGA Implementations of Neural Networks by Amos R. Omondi,Jagath C. Rajapakse Pdf

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 : Jasni Mohamad Zain,Wan Maseri Wan Mohd,Eyas El-Qawasmeh
Publisher : Springer Science & Business Media
Page : 756 pages
File Size : 51,7 Mb
Release : 2011-06-22
Category : Computers
ISBN : 9783642221903

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Software Engineering and Computer Systems, Part II by Jasni Mohamad Zain,Wan Maseri Wan Mohd,Eyas El-Qawasmeh Pdf

This Three-Volume-Set constitutes the refereed proceedings of the Second International Conference on Software Engineering and Computer Systems, ICSECS 2011, held in Kuantan, Malaysia, in June 2011. The 190 revised full papers presented together with invited papers in the three volumes were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on software engineering; network; bioinformatics and e-health; biometrics technologies; Web engineering; neural network; parallel and distributed e-learning; ontology; image processing; information and data management; engineering; software security; graphics and multimedia; databases; algorithms; signal processing; software design/testing; e- technology; ad hoc networks; social networks; software process modeling; miscellaneous topics in software engineering and computer systems.

Author : Branko Soucek,The IRIS Group
Publisher : Wiley-Interscience
Page : 306 pages
File Size : 40,9 Mb
Release : 1992-05-07
Category : Computers
ISBN : UOM:39015025151831

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Fast Learning and Invariant Object Recognition by Branko Soucek,The IRIS Group Pdf

This applications-oriented book presents, for the first time, Learning-Generalization-Seeing-Recognition Hybrids. Numerous new learning algorithms are described, including holographic networks, adaptive decoupled momentum, feature construction, second-order gradient, and adaptive-symbolic methods. Object recognition systems in real-time applications are presented and include massively parallel and systolic array implementations. These systems exhibit up to 2 billion operations and over 300 billion connections per second. Position, scale and rotation invariant systems for industrial machine vision are presented, including testing of IC chips; flying object recognition; space shuttle and aircraft experiments; detection of moving objects; shape recognition in manufacturing; recognition of occluded objects; biomedical image classification; three-dimensional ultrasonic imaging in clinical ophthalmology, and others. New invariant object recognition paradigms include orthogonal sets of feature layers; higher-order neural networks; detection of movement-attention-tracking; landmark matching; segmentation of three-dimensional images; dynamic links on the reduced mesh of trees. Fast Learning and Invariant Object Recognition presents a unified treatment of material that has previously been scattered worldwide in a number of research reports, as well as previously unpublished methods and results from the IRIS (Integration of Reasoning, Informing and Serving) Group.

Author : Madan M. Gupta
Publisher : Elsevier
Page : 639 pages
File Size : 46,6 Mb
Release : 1999-10-28
Category : Computers
ISBN : 008054133X

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Soft Computing and Intelligent Systems by Madan M. Gupta Pdf

The field of soft computing is emerging from the cutting edge research over the last ten years devoted to fuzzy engineering and genetic algorithms. The subject is being called soft computing and computational intelligence. With acceptance of the research fundamentals in these important areas, the field is expanding into direct applications through engineering and systems science. This book cover the fundamentals of this emerging filed, as well as direct applications and case studies. There is a need for practicing engineers, computer scientists, and system scientists to directly apply "fuzzy" engineering into a wide array of devices and systems.

Author : Joao Gama,Sepideh Pashami,Albert Bifet,Moamar Sayed-Mouchawe,Holger Fröning,Franz Pernkopf,Gregor Schiele,Michaela Blott
Publisher : Springer Nature
Page : 317 pages
File Size : 54,7 Mb
Release : 2021-01-09
Category : Computers
ISBN : 9783030667702

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IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning by Joao Gama,Sepideh Pashami,Albert Bifet,Moamar Sayed-Mouchawe,Holger Fröning,Franz Pernkopf,Gregor Schiele,Michaela Blott Pdf

This book constitutes selected papers from the Second International Workshop on IoT Streams for Data-Driven Predictive Maintenance, IoT Streams 2020, and First International Workshop on IoT, Edge, and Mobile for Embedded Machine Learning, ITEM 2020, co-located with ECML/PKDD 2020 and held in September 2020. Due to the COVID-19 pandemic the workshops were held online. The 21 full papers and 3 short papers presented in this volume were thoroughly reviewed and selected from 35 submissions and are organized according to the workshops and their topics: IoT Streams 2020: Stream Learning; Feature Learning; ITEM 2020: Unsupervised Machine Learning; Hardware; Methods; Quantization.

Author : Michel Neviere,Evgeny Popov
Publisher : CRC Press
Page : 432 pages
File Size : 51,5 Mb
Release : 2018-10-03
Category : Science
ISBN : 9781482275919

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Light Propagation in Periodic Media by Michel Neviere,Evgeny Popov Pdf

Based on more than 30 years of research on differential theories of gratings, this book describes developments in differential theory for applications in spectroscopy, acoustics, X-ray instrumentation, optical communication, information processing, photolithography, high-power lasers, high-precision engineering, and astronomy. Introducing the Fast Fourier Factorization approach to improve the convergence of a truncated series, the book examines multilayers, stacked gratings, crossed gratings, photonic crystals, and isotropic and anisotropic materials; techniques and examples in grating design; and Maxwell equations in a truncated Fourier space.

Author : Victor Larios,Felix F. Ramos,Herwig Unger
Publisher : Springer Science & Business Media
Page : 292 pages
File Size : 51,7 Mb
Release : 2004-06-24
Category : Computers
ISBN : 9783540221722

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Advanced Distributed Systems by Victor Larios,Felix F. Ramos,Herwig Unger Pdf

This book constitutes the thoroughly refereed post-proceedings of the Third International School and Symposium on Advanced Distributed Systems, ISSADS 2004, held in Guadalajara, Mexico in January 2004. The 25 revised full papers presented were carefully reviewed and selected from 46 submissions. Among the topics addressed are virtual characters, distributed toolkits, serial visual presentation, multi-agent architectures, MAS, agent-object hybrid languages, robot soccer agents, distributed querying, semantic search engines, coordination, distributed collaboration, virtual communities, peer-to-peer networks, P2P systems, distributed search mobile objects, load balancing, distributed algorithms, scheduling, and distributed information systems.