Introduction To The Theory Of Neural Computation, Volume I (SANTA FE INSTITUTE STUDIES IN THE SCIENCES OF COMPLEXITY LECTURE NOTES) - Hardcover
Book 6 of 14: Santa Fe Institute Studies in the Sciences of Complexity
Synopsis
A clear exposition of the theoretical aspects of neural computation. No specific background other than mathematics (multi-variate calculus, differential equations, and linear algebra) is assumed. Annotation copyright Book News, Inc. Portland, Or.
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Review
This book comprehensively discusses the neural network models from a statistical mechanics perspective. It starts with one of the most influential developments in the theory of neural networks: Hopfield's analysis of networks with symmetric connections using the spin system approach and using the notion of an energy function from physics. Introduction to the Theory of Neural Computation uses these powerful tools to analyze neural networks as associative memory stores and solvers of optimization problems. A detailed analysis of multi-layer networks and recurrent networks follow. The book ends with chapters on unsupervised learning and a formal treatment of the relationship between statistical mechanics and neural networks. Little information is provided about applications and implementations, and the treatment of the material reflects the background of the authors as physicists. However the book is essential for a solid understanding of the computational potential of neural networks. Introduction to the Theory of Neural Computation assumes that the reader is familiar with undergraduate level mathematics, but does not have any background in physics. All of the necessary tools are introduced in the book.
From the Back Cover
This book is a comprehensive introduction to the neural network models currently under intensive study for computational applications. It is a detailed, logically-developed treatment that covers the theory and uses of collective computational networks, including associative memory, feed forward networks, and unsupervised learning. It also provides coverage of neural network applications in a variety of problems of both theoretical and practical interest.
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Introduction To The Theory Of Neural Computation, Volume I (SANTA FE INSTITUTE STUDIES IN THE SCIENCES OF COMPLEXITY LECTURE NOTES)
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Introduction To The Theory Of Neural Computation, Volume I (SANTA FE INSTITUTE STUDIES IN THE SCIENCES OF COMPLEXITY LECTURE NOTES)
Published by
Addison-Wesley Pub. Co, Redwood City, CA, 1991
ISBN 10: 0201503956
ISBN 13: 9780201503951
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Introduction To The Theory Of Neural Computation, Volume I (SANTA FE INSTITUTE STUDIES IN THE SCIENCES OF COMPLEXITY LECTURE NOTES)
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ISBN 10: 0201503956
ISBN 13: 9780201503951
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Introduction To The Theory Of Neural Computation, Volume I (SANTA FE INSTITUTE STUDIES IN THE SCIENCES OF COMPLEXITY LECTURE NOTES)
Published by
Addison-Wesley Pub. Co, Redwood City, CA, 1991
ISBN 10: 0201503956
ISBN 13: 9780201503951
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Introduction to the Theory of Neural Computation
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Addison-Wesley Pub. Co, Redwood City, CA, 1991
ISBN 10: 0201503956
ISBN 13: 9780201503951
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Introduction to the Theory of Neural Computation, Volume I
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ISBN 10: 0201503956
ISBN 13: 9780201503951
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Hardcover. Condition: Very Good. Dust Jacket Condition: No Dust Jacket. First Edition; First Printing. SANTA FE INSTITUTE STUDIES In The SCIENCES Of COMPLEXITY LECTURE NOTES; 7 X 1 X 9.75 inches; 327 pages; notes from previous owner on front free endpaper. Very Good condition otherwise. No other noteworthy defects. No markings on text pages. ; - Your satisfaction is our priority. We offer free returns and respond promptly to all inquiries. Your item will be carefully cushioned in bubble wrap and securely boxed. All orders ship on the same or next business day. Buy with confidence. Seller Inventory # HVD-76301-A-0
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Introduction to the Theory of Neural Computation: Lecture Notes Volume I
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Introduction To The Theory Of Neural Computation, Volume I (SANTA FE INSTITUTE STUDIES IN THE SCIENCES OF COMPLEXITY LECTURE NOTES)
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Introduction To The Theory Of Neural Computation, Volume I (SANTA FE INSTITUTE STUDIES IN THE SCIENCES OF COMPLEXITY LECTURE NOTES)
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Hardcover. Condition: Very Good. Introduction To The Theory Of Neural Computation, Volume I (SANTA FE INSTITUTE STUDIES IN THE SCIENCES OF COMPLEXITY LECTURE NOTES) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. Seller Inventory # 7719-9780201503951
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Introduction to the Theory of Neural Computation; Volume 1
Published by
Addison-Wesley Publishing Co, Redwood City, California, 1991
ISBN 10: 0201503956
ISBN 13: 9780201503951
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Hardcover. Condition: Near fine(+). Octavo in blue boards, 327 pp: illustrations; 25 cm. Lecture notes volume 1 | Contents: About the Santa Fe Institute , Santa Fe Institute Editorial Board September 1990 , Santa Fe Institute Studies in the Sciences of Complexity , Series Foreword , Foreword , Foreword , Preface , Introduction , The Hopfield Model , Extensions of the Hopfield Model , Optimization Problems , Simple Perceptrons , Multi-Layer Networks , Recurrent Networks , Unsupervised Hebbian Learning , Unsupervised Competitive Learning , Formal Statistical Mechanics of Neural Networks, Statistical Mechanics. Near fine(+); boards glossy; small stamp to free endpaper; pages crisp, bright, and clean; binding tight. First Edition (presumed; no prior editions or printings cited). Seller Inventory # 106082