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VLSI Artificial Neural Networks Engineering, Mohamed I. Elmasry


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Автор: Mohamed I. Elmasry
Название:  VLSI Artificial Neural Networks Engineering
ISBN: 9781461361947
Издательство: Springer
Классификация:



ISBN-10: 146136194X
Обложка/Формат: Paperback
Страницы: 329
Вес: 0.49 кг.
Дата издания: 06.10.2012
Язык: English
Размер: 234 x 156 x 18
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
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.


Vlsi for neural networks and artificial intelligence

Название: Vlsi for neural networks and artificial intelligence
ISBN: 1489913335 ISBN-13(EAN): 9781489913333
Издательство: Springer
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Цена: 23058.00 р.
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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.

VLSI for Artificial Intelligence and Neural Networks

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: 6986.00 р.
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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.

VLSI — Compatible Implementations for Artificial Neural Networks

Автор: Sied Mehdi Fakhraie; Kenneth C. Smith
Название: VLSI — Compatible Implementations for Artificial Neural Networks
ISBN: 1461378974 ISBN-13(EAN): 9781461378976
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book introduces several state-of-the-art VLSI implementations of artificial neural networks (ANNs). The work of Professors Fakhraie and Smith, presented in this book, is a welcome addition to the state-of-the-art and will greatly benefit researchers and students working in this area.

VLSI — Compatible Implementations for Artificial Neural Networks

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: 23757.00 р.
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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.

VLSI Artificial Neural Networks Engineering

Автор: Mohamed I. Elmasry
Название: VLSI Artificial Neural Networks Engineering
ISBN: 0792394933 ISBN-13(EAN): 9780792394938
Издательство: Springer
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Цена: 26122.00 р.
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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.

Artificial Neural Networks

Автор: Nicolaos Karayiannis; Anastasios N. Venetsanopoulo
Название: Artificial Neural Networks
ISBN: 1441951326 ISBN-13(EAN): 9781441951328
Издательство: Springer
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Цена: 27245.00 р.
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Описание: In order to understand the functioning of the brain, neurobiologists have taken a bottom-up approach of studying the stimulus-response characteristics of single neurons and networks of neurons, while psy- chologists have taken a top-down approach of studying brain func- tions from the cognitive and behavioral level.

Artificial Neural Networks

Автор: Petia Koprinkova-Hristova; Valeri Mladenov; Nikola
Название: Artificial Neural Networks
ISBN: 3319349503 ISBN-13(EAN): 9783319349503
Издательство: Springer
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Цена: 26120.00 р.
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Описание:

The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It includes twenty-three papers selected from among the best contributions on bio-neuroinformatics-related issues, which were presented at the International Conference on Artificial Neural Networks, held in Sofia, Bulgaria, on September 10-13, 2013 (ICANN 2013). The book covers a broad range of topics concerning the theory and applications of artificial neural networks, including recurrent neural networks, super-Turing computation and reservoir computing, double-layer vector perceptrons, nonnegative matrix factorization, bio-inspired models of cell communities, Gestalt laws, embodied theory of language understanding, saccadic gaze shifts and memory formation, and new training algorithms for Deep Boltzmann Machines, as well as dynamic neural networks and kernel machines. It also reports on new approaches to reinforcement learning, optimal control of discrete time-delay systems, new algorithms for prototype selection, and group structure discovering. Moreover, the book discusses one-class support vector machines for pattern recognition, handwritten digit recognition, time series forecasting and classification, and anomaly identification in data analytics and automated data analysis. By presenting the state-of-the-art and discussing the current challenges in the fields of artificial neural networks, bioinformatics and neuroinformatics, the book is intended to promote the implementation of new methods and improvement of existing ones, and to support advanced students, researchers and professionals in their daily efforts to identify, understand and solve a number of open questions in these fields.

Artificial Neural Networks for Modelling and Control of Non-Linear Systems

Автор: Johan A.K. Suykens; Joos P.L. Vandewalle; B.L. de
Название: Artificial Neural Networks for Modelling and Control of Non-Linear Systems
ISBN: 144195158X ISBN-13(EAN): 9781441951588
Издательство: Springer
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Цена: 19589.00 р.
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Описание: Artificial neural networks possess several properties that make them particularly attractive for applications to modelling and control of complex non-linear systems. Topics include non-linear system identification, neural optimal control, top-down model based neural control design and stability analysis of neural control systems.

Artificial Neural Networks in Hydrology

Автор: R.S. Govindaraju; A.R. Rao
Название: Artificial Neural Networks in Hydrology
ISBN: 9048154219 ISBN-13(EAN): 9789048154210
Издательство: Springer
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Цена: 26120.00 р.
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Описание: , USA Background and Motivation The basic notion of artificial neural networks (ANNs), as we understand them today, was perhaps first formalized by McCulloch and Pitts (1943) in their model of an artificial neuron.

Artificial Neural Networks

Автор: Petia Koprinkova-Hristova; Valeri Mladenov; Nikola
Название: Artificial Neural Networks
ISBN: 3319099027 ISBN-13(EAN): 9783319099026
Издательство: Springer
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Цена: 34937.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It includes twenty-three papers selected from among the best contributions on bio-neuroinformatics-related issues, which were presented at the International Conference on Artificial Neural Networks, held in Sofia, Bulgaria, on September 10-13, 2013 (ICANN 2013). The book covers a broad range of topics concerning the theory and applications of artificial neural networks, including recurrent neural networks, super-Turing computation and reservoir computing, double-layer vector perceptrons, nonnegative matrix factorization, bio-inspired models of cell communities, Gestalt laws, embodied theory of language understanding, saccadic gaze shifts and memory formation, and new training algorithms for Deep Boltzmann Machines, as well as dynamic neural networks and kernel machines. It also reports on new approaches to reinforcement learning, optimal control of discrete time-delay systems, new algorithms for prototype selection, and group structure discovering. Moreover, the book discusses one-class support vector machines for pattern recognition, handwritten digit recognition, time series forecasting and classification, and anomaly identification in data analytics and automated data analysis. By presenting the state-of-the-art and discussing the current challenges in the fields of artificial neural networks, bioinformatics and neuroinformatics, the book is intended to promote the implementation of new methods and improvement of existing ones, and to support advanced students, researchers and professionals in their daily efforts to identify, understand and solve a number of open questions in these fields.

The Handbook of Optical Communication Networks

Автор: Ilyas
Название: The Handbook of Optical Communication Networks
ISBN: 0849313333 ISBN-13(EAN): 9780849313332
Издательство: Taylor&Francis
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Цена: 33686.00 р.
Наличие на складе: Поставка под заказ.

Описание: Presents comprehensive information on integrated optical networks. This book provides technical information on various aspects of these networks, from their basic concepts to research-grade material, including future trends. It includes chapters that discuss transmission and switching, networking architectures, and traffic management.

Stochastic Processes, Optimization, and Control Theory: Applications in Financial Engineering, Queueing Networks, and Manufacturing Systems

Автор: Houmin Yan; G. George Yin; Qing Zhang
Название: Stochastic Processes, Optimization, and Control Theory: Applications in Financial Engineering, Queueing Networks, and Manufacturing Systems
ISBN: 1441941487 ISBN-13(EAN): 9781441941480
Издательство: Springer
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Цена: 23058.00 р.
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Описание: It presents recent and pressing issues in stochastic processes, control theory, differential games, optimization, and their applications in finance, manufacturing, queueing networks, and climate control. The book is dedicated to Professor Suresh Sethi on the occasion of his 60th birthday, in view of his distinguished career.


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