VLSI for Artificial Intelligence and Neural Networks, Jose G. Delgado-Frias; W.R. Moore

Автор: S.G. Tzafestas; H. B. Verbruggen
Название: Artificial Intelligence in Industrial Decision Making, Control and Automation
ISBN: 9401041342 ISBN-13(EAN): 9789401041348
Издательство: Springer
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Название: Vlsi for neural networks and artificial intelligence
ISBN: 1489913335 ISBN-13(EAN): 9781489913333
Издательство: Springer
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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: 146136194X ISBN-13(EAN): 9781461361947
Издательство: Springer
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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.

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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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: Jose G. Delgado-Frias; Will Moore
Название: VLSI for Artificial Intelligence
ISBN: 1461288959 ISBN-13(EAN): 9781461288954
Издательство: Springer
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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
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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.

Автор: Heinz Winter
Название: Artificial Intelligence and Man-Machine Systems
ISBN: 3540166580 ISBN-13(EAN): 9783540166580
Издательство: Springer
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Автор: Donald E. Brown; Chelsea C. White III
Название: Operations Research and Artificial Intelligence: The Integration of Problem-Solving Strategies
ISBN: 9401074887 ISBN-13(EAN): 9789401074889
Издательство: Springer
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Описание: In addition to the obvious interest the book should have for members of the operations research and artificial intelligence communities, the papers here are also relevant to members of other research communities and development activities that can benefit from improvements to fundamental problem solving approaches.

Автор: Svetlana N. Yanushkevich
Название: Artificial Intelligence in Logic Design
ISBN: 9048165830 ISBN-13(EAN): 9789048165834
Издательство: Springer
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Описание: There are three outstanding points of this book. Second, the book reveals new horizons of logic design tools on the technologies of the near future. Finally, the contributors of the book are twenty recognizable leaders in the field from the seven research centres.

Автор: Narinder Singh
Название: An Artificial Intelligence Approach to Test Generation
ISBN: 1461291836 ISBN-13(EAN): 9781461291831
Издательство: Springer
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Описание: I am indebted to my thesis advisor, Michael Genesereth, for his guidance, inspiration, and support which has made this research possible. This research was supported by Schlumberger Palo Alto Research (previously Fairchild Laboratory for Artificial Intelligence).

Автор: Ulrich Ramacher; Ulrich R?ckert
Название: VLSI Design of Neural Networks
ISBN: 1461367859 ISBN-13(EAN): 9781461367857
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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: Marat Akhmet; Enes Y?lmaz
Название: Neural Networks with Discontinuous/Impact Activations
ISBN: 149394598X ISBN-13(EAN): 9781493945986
Издательство: Springer
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Описание: This monograph examines a wide range of neural networks models with discontinuities, including impulsive differential equations, differential equations with piecewise constant arguments, and models of mixed type.