Cellular Neural Networks and Analog VLSI, Leon Chua; Glenn Gulak; Edmund Pierzchala; ?ngel R

Автор: Chua
Название: Cellular Neural Networks and Visual Computing
ISBN: 0521652472 ISBN-13(EAN): 9780521652476
Издательство: Cambridge Academ
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Описание: This is a unique undergraduate level textbook on Cellular Nonlinear/neural Networks (CNN) technology. The many examples and excercises, including a simulator accessible via the Internet, make this book an ideal introduction to CNNs and analogic cellular computing for students, researchers and engineers from a wide range of backgrounds.

Автор: Martin H?nggi; George S. Moschytz
Название: Cellular Neural Networks
ISBN: 0792378911 ISBN-13(EAN): 9780792378914
Издательство: Springer
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Цена: 23472.00 р.
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Описание: Cellular Neural Networks (CNNs) are nonlinear, recurrent and locally coupled arrays of identical dynamical cells that operate in parallel. Signal processing via CNNs is efficient only if the network is implemented in analogue hardware. The robustness of such is discussed within.

Автор: Gabriele Manganaro; Paolo Arena; Luigi Fortuna
Название: Cellular Neural Networks
ISBN: 3642642322 ISBN-13(EAN): 9783642642326
Издательство: Springer
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Цена: 16769.00 р.
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Описание: The field of cellular neural networks (CNNs) is of growing importance in non- linear circuits and systems and it is maturing to the point of becoming a new area of study in general nonlinear theory.

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: Brian D. Ripley
Название: Pattern Recognition and Neural Networks
ISBN: 0521717701 ISBN-13(EAN): 9780521717700
Издательство: Cambridge Academ
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Цена: 7762.00 р.
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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: 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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Цена: 6986.00 р.
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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.

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: Mohamed I. Elmasry
Название: VLSI Artificial Neural Networks Engineering
ISBN: 146136194X ISBN-13(EAN): 9781461361947
Издательство: Springer
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Цена: 20962.00 р.
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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.