VLSI — Compatible Implementations for Artificial Neural Networks, Sied Mehdi Fakhraie; Kenneth C. Smith

Автор: Jose G. Delgado-Frias; W.R. Moore
Название: VLSI for Artificial Intelligence and Neural Networks
ISBN: 1461366712 ISBN-13(EAN): 9781461366713
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book is an edited selection of the papers presented at the International Workshop on VLSI for Artifidal Intelligence and Neural Networks which was held at the University of Oxford in September 1990.

Автор: Sied Mehdi Fakhraie; Kenneth C. Smith
Название: VLSI — Compatible Implementations for Artificial Neural Networks
ISBN: 0792398254 ISBN-13(EAN): 9780792398257
Издательство: Springer
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Цена: 158380.00 T
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Описание: Introduces an approach to biologically-inspired and VLSI-compatible definition, simulation, and implementation of artificial neural networks. This book develops a set of guidelines for general hardware implementation of artificial neural networks. It provides a geometrical interpretation of the behavior of different variants of these networks.

Автор: Amos R. Omondi; Jagath C. Rajapakse
Название: FPGA Implementations of Neural Networks
ISBN: 1441939423 ISBN-13(EAN): 9781441939425
Издательство: Springer
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Цена: 156720.00 T
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Описание: 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.

Автор: Abur
Название: Power System State Estimation. Theory and Implementations
ISBN: 0824755707 ISBN-13(EAN): 9780824755706
Издательство: Taylor&Francis
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Цена: 122490.00 T
Наличие на складе: Невозможна поставка.
Описание: Offering an account of the strategies utilized in state estimation of electric power systems, this text provides a broad overview of power system operation and the role of state estimation in overall energy management. It also uses examples, models, tables, and guidelines to examine various aspects of state estimation.

Автор: Mauro Mangia; Fabio Pareschi; Valerio Cambareri; R
Название: Adapted Compressed Sensing for Effective Hardware Implementations
ISBN: 3319613723 ISBN-13(EAN): 9783319613727
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book describes algorithmic methods and hardware implementations that aim to help realize the promise of Compressed Sensing (CS), namely the ability to reconstruct high-dimensional signals from a properly chosen low-dimensional "portrait".

Автор: Iasson Karafyllis; Miroslav Krstic
Название: Predictor Feedback for Delay Systems: Implementations and Approximations
ISBN: 3319423770 ISBN-13(EAN): 9783319423777
Издательство: Springer
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Цена: 102480.00 T
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Описание: Preview of Predictor Feedback and Delay Compensation.- Part I: Linear Systems Under Predictor Feedback.- Linear Systems with State Measurement.- Linear Systems with Output Measurement.- Part II: Nonlinear Systems Under Predictor Feedback.- Nonlinear Systems with State Measurement.- Nonlinear Systems with Output Measurement.- Application to the Chemostat.- Part III: Extensions of Predictor Feedback.- Systems Described by Integral Delay Equations.- Discrete-Time Systems.

Автор: Mohamed I. Elmasry
Название: VLSI Artificial Neural Networks Engineering
ISBN: 146136194X ISBN-13(EAN): 9781461361947
Издательство: Springer
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Цена: 139750.00 T
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Описание: Engineers have long been fascinated by how efficient and how fast biological neural networks are capable of performing such complex tasks as recognition. Since then, the field of VLSI Artificial Neural Networks (ANNs) have witnessed an exponential growth and a new engineering discipline was born.

Название: Vlsi for neural networks and artificial intelligence
ISBN: 1489913335 ISBN-13(EAN): 9781489913333
Издательство: Springer
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Цена: 153720.00 T
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Описание: Neural network and artificial intelligence algorithrns and computing have increased not only in complexity but also in the number of applications. 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.

Автор: Mohamed I. Elmasry
Название: VLSI Artificial Neural Networks Engineering
ISBN: 0792394933 ISBN-13(EAN): 9780792394938
Издательство: Springer
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Цена: 174150.00 T
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Описание: Offers an engineering approach to the design of VLSI Artificial Neural Networks (ANNs). This title presents the design of analog, digital and mixed analog/digital VLSI ANNs. It provides a design methodology and a CAD environment to highlight the tradeoff design factors. It includes system applications of ANNs to automatic speech recognition.