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Application of FPGA to Real?Time Machine Learning, Piotr Antonik


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Цена: 15372.00р.
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Автор: Piotr Antonik   (Пётр Антоник)
Название:  Application of FPGA to Real?Time Machine Learning
Перевод названия: Пётр Антоник: Применение FPGA к машинному обучению в реальном времени
ISBN: 9783030081645
Издательство: Springer
Классификация:




ISBN-10: 3030081648
Обложка/Формат: Soft cover
Страницы: 171
Вес: 0.31 кг.
Дата издания: 2018
Серия: Springer Theses
Язык: English
Издание: Softcover reprint of
Иллюстрации: 8 illustrations, color; 60 illustrations, black and white; xxii, 171 p. 68 illus., 8 illus. in color.
Размер: 234 x 156 x 11
Читательская аудитория: General (us: trade)
Основная тема: Physics
Подзаголовок: Hardware Reservoir Computers and Software Image Processing
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:
This book lies at the interface of machine learning – a subfield of computer science that develops algorithms for challenging tasks such as shape or image recognition, where traditional algorithms fail – and photonics – the physical science of light, which underlies many of the optical communications technologies used in our information society. It provides a thorough introduction to reservoir computing and field-programmable gate arrays (FPGAs).
Recently, photonic implementations of reservoir computing (a machine learning algorithm based on artificial neural networks) have made a breakthrough in optical computing possible. In this book, the author pushes the performance of these systems significantly beyond what was achieved before. By interfacing a photonic reservoir computer with a high-speed electronic device (an FPGA), the author successfully interacts with the reservoir computer in real time, allowing him to considerably expand its capabilities and range of possible applications. Furthermore, the author draws on his expertise in machine learning and FPGA programming to make progress on a very different problem, namely the real-time image analysis of optical coherence tomography for atherosclerotic arteries.

Дополнительное описание: Introduction.- Online Training of a Photonic Reservoir Computer.- Backpropagation with Photonics.- Photonic Reservoir Computer with Output Feedback.- Towards Online-Trained Analogue Readout Layer.- Real-Time Automated Tissue Characterisation for Intravasc



Application of FPGA to Real?Time Machine Learning

Автор: Antonik
Название: Application of FPGA to Real?Time Machine Learning
ISBN: 3319910523 ISBN-13(EAN): 9783319910529
Издательство: Springer
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Цена: 15372.00 р.
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Описание:

Introduction.- Online Training of a Photonic Reservoir Computer.- Backpropagation with Photonics.- Photonic Reservoir Computer with Output Feedback.- Towards Online-Trained Analogue Readout Layer.- Real-Time Automated Tissue Characterisation for Intravascular OCT Scans.- Conclusion and Perspectives.

Fuzzy Logic Type 1 and Type 2 Based on LabVIEW™ FPGA

Автор: Pedro Ponce-Cruz; Arturo Molina; Brian MacCleery
Название: Fuzzy Logic Type 1 and Type 2 Based on LabVIEW™ FPGA
ISBN: 3319266551 ISBN-13(EAN): 9783319266558
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Downloadable LabVIEW toolkit and solutions to exercises

FPGA Algorithms and Applications for the Internet of Things

Автор: Preeti Sharma, Rajit Nair
Название: FPGA Algorithms and Applications for the Internet of Things
ISBN: 1522598073 ISBN-13(EAN): 9781522598077
Издательство: Mare Nostrum (Eurospan)
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Цена: 22176.00 р.
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Описание: Provides emerging research exploring the theoretical and practical aspects of computable algorithms and applications within robotics and electronics development. The book provides coverage on a broad range of topics, including neuroscience, bioinformatics, and artificial intelligence.

FPGA-BASED Hardware Accelerators

Автор: Iouliia Skliarova; Valery Sklyarov
Название: FPGA-BASED Hardware Accelerators
ISBN: 303020720X ISBN-13(EAN): 9783030207205
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book suggests and describes a number of fast parallel circuits for data/vector processing using FPGA-based hardware accelerators. Three primary areas are covered: searching, sorting, and counting in combinational and iterative networks. These include the application of traditional structures that rely on comparators/swappers as well as alternative networks with a variety of core elements such as adders, logical gates, and look-up tables. The iterative technique discussed in the book enables the sequential reuse of relatively large combinational blocks that execute many parallel operations with small propagation delays. For each type of network discussed, the main focus is on the step-by-step development of the architectures proposed from initial concepts to synthesizable hardware description language specifications. Each type of network is taken through several stages, including modeling the desired functionality in software, the retrieval and automatic conversion of key functions, leading to specifications for optimized hardware modules. The resulting specifications are then synthesized, implemented, and tested in FPGAs using commercial design environments and prototyping boards. The methods proposed can be used in a range of data processing applications, including traditional sorting, the extraction of maximum and minimum subsets from large data sets, communication-time data processing, finding frequently occurring items in a set, and Hamming weight/distance counters/comparators. The book is intended to be a valuable support material for university and industrial engineering courses that involve FPGA-based circuit and system design.

FPGA-based Digital Convolution for Wireless Applications

Автор: Lei Guan
Название: FPGA-based Digital Convolution for Wireless Applications
ISBN: 3319519999 ISBN-13(EAN): 9783319519999
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Preface.- Chapter 1. Introduction.- Chapter 2. FPGA and Digital Signal Processing.- Chapter 3. FPGA-based Linear Convolution.- Chapter 4. FPGA-based Nonlinear Convolution.- Chapter 5. Advanced FPGA-based Fast Linear Convolution.- Chapter 6. FPGA-based DSP System Verification.- References.

FPGA Algorithms and Applications for the Internet of Things

Автор: Ching Wa Daniel Ng
Название: FPGA Algorithms and Applications for the Internet of Things
ISBN: 1522598065 ISBN-13(EAN): 9781522598060
Издательство: Mare Nostrum (Eurospan)
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Цена: 28967.00 р.
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Описание: In the research area of computer science, practitioners are constantly searching for faster platforms with pertinent results. With analytics that span environmental development to computer hardware emulation, problem-solving algorithms are in high demand. Field-Programmable Gate Array (FPGA) is a promising computing platform that can be significantly faster for some applications and can be applied to a variety of fields.

FPGA Algorithms and Applications in the IoT, AI, and High-Performance Computing provides emerging research exploring the theoretical and practical aspects of computable algorithms and applications within robotics and electronics development. Featuring coverage on a broad range of topics such as neuroscience, bioinformatics, and artificial intelligence, this book is ideally designed for computer science specialists, researchers, professors, and students seeking current research on cognitive analytics and advanced computing.

The Design Warrior`s Guide to FPGAs,

Автор: Clive "Max " Maxfield
Название: The Design Warrior`s Guide to FPGAs,
ISBN: 0750676043 ISBN-13(EAN): 9780750676045
Издательство: Elsevier Science
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Цена: 8925.00 р.
Наличие на складе: Поставка под заказ.

Описание: Field Programmable Gate Arrays (FPGAs) are devices that provide a fast, low-cost way for embedded system designers to customize products. This book focuses on FPGA use for embedded systems. It offers advice on choosing the right FPGA for any design project.

Machine Learning Paradigms: Theory and Application

Автор: Aboul Ella Hassanien
Название: Machine Learning Paradigms: Theory and Application
ISBN: 3030023567 ISBN-13(EAN): 9783030023560
Издательство: Springer
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Цена: 22359.00 р.
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Описание:

The book focuses on machine learning. Divided into three parts, the first part discusses the feature selection problem. The second part then describes the application of machine learning in the classification problem, while the third part presents an overview of real-world applications of swarm-based optimization algorithms.
The concept of machine learning (ML) is not new in the field of computing. However, due to the ever-changing nature of requirements in today’s world it has emerged in the form of completely new avatars. Now everyone is talking about ML-based solution strategies for a given problem set. The book includes research articles and expository papers on the theory and algorithms of machine learning and bio-inspiring optimization, as well as papers on numerical experiments and real-world applications.
Acceleration of Biomedical Image Processing with Dataflow on FPGAs

Автор: GRULL & KEBSCHULL
Название: Acceleration of Biomedical Image Processing with Dataflow on FPGAs
ISBN: 8793379366 ISBN-13(EAN): 9788793379367
Издательство: Taylor&Francis
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Цена: 9492.00 р.
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Описание: Short compute times are crucial for timely diagnostics in biomedical applications, but lead to a high demand in computing for new and improved imaging techniques. In this book, reconfigurable computing with FPGAs is discussed as an alternative to multi-core processing and graphics card accelerators. Instead of adjusting the application to the hardware, FPGAs allow the hardware to also be adjusted to the problem. Acceleration of Biomedical Image Processing with Dataflow on FPGAs covers the transformation of image processing algorithms towards a system of deep pipelines that can be executed with very high parallelism. The transformation process is discussed from initial design decisions to working implementations. Two example applications from stochastic localization microscopy and electron tomography illustrate the approach further.

Topics discussed in the book include:
- Reconfigurable hardware
- Dataflow computing
- Image processing
- Application acceleration

Stability, Control and Application of Time-delay Systems

Автор: Gao, Qingbin
Название: Stability, Control and Application of Time-delay Systems
ISBN: 0128149280 ISBN-13(EAN): 9780128149287
Издательство: Elsevier Science
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Цена: 19370.00 р.
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Описание:

Stability, Control and Application of Time-delay Systems gives a systematic description of the analysis, design, and application of time delay systems along with the adequate designs of integrated modelling, control and frequency characterizations. Topics in the individual chapters range from a generally theoretical time delay systems to a more complex class of time delay systems, and to some selective applications.

The main common theme of all the contributions in this book is that of creating certain synergies of modelling, analysis, control, computing and applications of time delay systems in order to achieve robust stability while retaining desired performance quality.

This book provides innovative insights into the state-of-the-art of time-delay systems in both theory and practical aspects. It has been edited with an emphasis on presenting constructive theoretical and practical methodological approaches and techniques to the time delay system employing modelling, control and applications.

  • Unifies existing and emerging concepts concerning time delay dynamical systems
  • Provides a series of latest results in large-delay analysis, multi-agent systems with delays, and thermal systems with delays
  • Gives in each chapter numerical and simulation results in order to reflect the engineering practice
Quantum Computing:An Environment for Intelligent Large Scale Real Application

Автор: Aboul Ella Hassanien; Mohamed Elhoseny; Janusz Kac
Название: Quantum Computing:An Environment for Intelligent Large Scale Real Application
ISBN: 3319876023 ISBN-13(EAN): 9783319876023
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This book highlights practical quantum key distribution systems and research on the implementations of next-generation quantum communication, as well as photonic quantum device technologies. It discusses how the advances in quantum computing and quantum physics have allowed the building, launching and deploying of space exploration systems that are capable of more and more as they become smaller and lighter. It also presents theoretical and experimental research on the potential and limitations of secure communication and computation with quantum devices, and explores how security can be preserved in the presence of a quantum computer, and how to achieve long-distance quantum communication. The development of a real quantum computer is still in the early stages, but a number of research groups have investigated the theoretical possibilities of such computers.

Quantum Computing:An Environment for Intelligent Large Scale Real Application

Автор: Aboul Ella Hassanien; Mohamed Elhoseny; Janusz Kac
Название: Quantum Computing:An Environment for Intelligent Large Scale Real Application
ISBN: 3319636383 ISBN-13(EAN): 9783319636382
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This book highlights practical quantum key distribution systems and research on the implementations of next-generation quantum communication, as well as photonic quantum device technologies.


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