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Published by Idea Group Publishing, 2007
ISBN 10: 1599040999 ISBN 13: 9781599040998
Language: English
Seller: Books Puddle, New York, NY, U.S.A.
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Published by Idea Group Publishing, 2007
ISBN 10: 1599040999 ISBN 13: 9781599040998
Language: English
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Add to basketCondition: New. pp. 464 68:B&W 7 x 10 in or 254 x 178 mm Case Laminate on White w/Gloss Lam.
Published by Idea Group Publishing, 2007
ISBN 10: 1599040999 ISBN 13: 9781599040998
Language: English
Seller: Biblios, Frankfurt am main, HESSE, Germany
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Published by Idea Group Publishing, 2007
ISBN 10: 1599041006 ISBN 13: 9781599041001
Language: English
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Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 973.
Published by Idea Group Publishing, 2006
ISBN 10: 1599040999 ISBN 13: 9781599040998
Language: English
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers real-world engineering problems, and explores the implementation of neural networks for the representation of structural responses in earthquake engineering. This book assesses the efficiency of seismic design procedures and describes the findings in.
Published by Idea Group Publishing, 2007
ISBN 10: 1599040999 ISBN 13: 9781599040998
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The enormous advances in computational hardware and software resources over the last fifteen years resulted in the development of non-conventional data processing and simulation methods. Among these methods artificial intelligence (AI) has been mentioned as one of the most eminent approaches to the so-called intelligent methods of information processing that present a great potential for engineering applications.Intelligent Computational Paradigms in Earthquake Engineering contains contributions that cover a wide spectrum of very important real-world engineering problems, and explore the implementation of neural networks for the representation of structural responses in earthquake engineering. This book assesses the efficiency of seismic design procedures and describes the latest findings in intelligent optimal control systems and their applications in structural engineering. Intelligent Computational Paradigms in Earthquake Engineering presents the application of learning machines, artificial neural networks and support vector machines as highly-efficient pattern recognition tools for structural damage detection. It includes an AI-based evaluation of bridge structures using life-cycle cost principles that considers seismic risk, and emphasizes the use of AI methodologies in a geotechnical earthquake engineering application.