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Analog VLSI Neural Networks, Yoshiyasu Takefuji


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Автор: Yoshiyasu Takefuji
Название:  Analog VLSI Neural Networks
ISBN: 9780792392736
Издательство: Springer
Классификация: ISBN-10: 0792392736
Обложка/Формат: Hardcover
Страницы: 131
Вес: 0.48 кг.
Дата издания: 30.11.1992
Серия: The Springer International Series in Engineering and Computer Science
Язык: English
Размер: 259 x 183 x 15
Основная тема: Engineering
Подзаголовок: A Special Issue of Analog Integrated Circuits and Signal Processing
Ссылка на Издательство: Link
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Поставляется из: Германии

Neural Networks and Analog Computation

Автор: Siegelmann, Hava
Название: Neural Networks and Analog Computation
ISBN: 1461268753 ISBN-13(EAN): 9781461268758
Издательство: Springer
Цена: 83810.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Humanity's most basic intellectual quest to decipher nature and master it has led to numerous efforts to build machines that simulate the world or communi- cate with it Bus70, Tur36, MP43, Sha48, vN56, Sha41, Rub89, NK91, Nyc92]. The computational power and dynamic behavior of such machines is a central question for mathematicians, computer scientists, and occasionally, physicists. Our interest is in computers called artificial neural networks. In their most general framework, neural networks consist of assemblies of simple processors, or "neurons," each of which computes a scalar activation function of its input. This activation function is nonlinear, and is typically a monotonic function with bounded range, much like neural responses to input stimuli. The scalar value produced by a neuron affects other neurons, which then calculate a new scalar value of their own. This describes the dynamical behavior of parallel updates. Some of the signals originate from outside the network and act as inputs to the system, while other signals are communicated back to the environment and are thus used to encode the end result of the computation.

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: 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.

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: 93160.00 T
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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.

Social and Economic Networks

Автор: Jackson Matthew
Название: Social and Economic Networks
ISBN: 0691148201 ISBN-13(EAN): 9780691148205
Издательство: Wiley
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Цена: 47520.00 T
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Описание: Networks of relationships help determine the careers that people choose, the jobs they obtain, the products they buy, and how they vote. This book offers a comprehensive introduction to social and economic networks, drawing on the findings in economics, sociology, computer science, physics, and mathematics.

Cellular Neural Networks and Analog VLSI

Автор: Leon Chua; Glenn Gulak; Edmund Pierzchala; ?ngel R
Название: Cellular Neural Networks and Analog VLSI
ISBN: 0792381254 ISBN-13(EAN): 9780792381259
Издательство: Springer
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Цена: 121110.00 T
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Описание: Cellular Neural Networks and Analog VLSI brings together in one place important contributions and up-to-date research results in this fast moving area. Cellular Neural Networks and Analog VLSI serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

Principles Of Neural Science

Автор: Kandel
Название: Principles Of Neural Science
ISBN: 0071390111 ISBN-13(EAN): 9780071390118
Издательство: McGraw-Hill
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Цена: 89230.00 T
Наличие на складе: Невозможна поставка.
Описание: Deciphering the link between the human brain and behavior has always been one of the most intriguing - and often challenging - aspects of scientific endeavor. This book proceeds with an examination of the molecular and cellular biology of nerve cells, synaptic transmission, and the neural basis of cognition.

Pattern Recognition and Neural Networks

Автор: Brian D. Ripley
Название: Pattern Recognition and Neural Networks
ISBN: 0521717701 ISBN-13(EAN): 9780521717700
Издательство: Cambridge Academ
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Цена: 51750.00 T
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Описание: This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. Valuable advice is included on both theory and applications, while case studies based on real data sets help readers develop their understanding. All data sets are available from www.stats.ox.ac.uk/~ripley/PRbook/

Introduction to neural networks

Автор: Gurney, Kevin
Название: Introduction to neural networks
ISBN: 1857285034 ISBN-13(EAN): 9781857285031
Издательство: Taylor&Francis
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Цена: 71450.00 T
Наличие на складе: Невозможна поставка.
Описание: Although mathematical ideas underpin the study of neural networks, this book presents the fundamentals without the full mathematical apparatus. It tackles various aspects of the field, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; and gradient descent methods.

Neural Networks for Pattern Recognition

Автор: Bishop, Christopher M.
Название: Neural Networks for Pattern Recognition
ISBN: 0198538642 ISBN-13(EAN): 9780198538646
Издательство: Oxford Academ
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Цена: 92930.00 T
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Описание: This book is the first to provide a comprehensive account of neural networks from a statistical perspective. Its emphasis is on pattern recognition, which currently represents the area of greatest applicability for neural networks. By focusing on pattern recognition, the book provides a much more extensive treatment of many topics than is available in earlier books.

VLSI for Neural Networks and Artificial Intelligence

Автор: Jose G. Delgado-Frias; W.R. Moore
Название: VLSI for Neural Networks and Artificial Intelligence
ISBN: 0306447223 ISBN-13(EAN): 9780306447228
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.

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: 153720.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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 Design of Neural Networks

Автор: Ulrich Ramacher; Ulrich R?ckert
Название: VLSI Design of Neural Networks
ISBN: 1461367859 ISBN-13(EAN): 9781461367857
Издательство: Springer
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Цена: 46570.00 T
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Описание: The early era of neural network hardware design (starting at 1985) was mainly technology driven. 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.


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