Analog VLSI Neural Networks, Yoshiyasu Takefuji

Автор: Brian D. Ripley
Название: Pattern Recognition and Neural Networks
ISBN: 0521717701 ISBN-13(EAN): 9780521717700
Издательство: Cambridge Academ
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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/

Автор: Jackson Matthew
Название: Social and Economic Networks
ISBN: 0691148201 ISBN-13(EAN): 9780691148205
Издательство: Wiley
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Цена: 7128.00 р.
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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.

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: 18167.00 р.
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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.

Автор: Siegelmann, Hava
Название: Neural Networks and Analog Computation
ISBN: 1461268753 ISBN-13(EAN): 9781461268758
Издательство: Springer
Цена: 12571.00 р.
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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.

Автор: Bishop, Christopher M.
Название: Neural Networks for Pattern Recognition
ISBN: 0198538642 ISBN-13(EAN): 9780198538646
Издательство: Oxford Academ
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Цена: 13939.00 р.
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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.

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: 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.

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.

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.

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.

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.

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.

Автор: Ulrich Ramacher; Ulrich R?ckert
Название: VLSI Design of Neural Networks
ISBN: 1461367859 ISBN-13(EAN): 9781461367857
Издательство: Springer
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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.