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(Ebook) Intelligent computational paradigms in earthquake engineering by Nikos D. Lagaros, Nikos D. Lagaros; Yiannis Tsompanakis ISBN 9781599040998, 9781599041001, 9781599041018, 1599040999, 1599041006, 1599041014

  • SKU: EBN-1186988
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Authors:Nikos D. Lagaros, Nikos D. Lagaros; Yiannis Tsompanakis
Pages:463 pages.
Year:2007
Editon:illustrated edition
Publisher:Idea Group Pub
Language:english
File Size:38.76 MB
Format:pdf
ISBNS:9781599040998, 9781599041001, 9781599041018, 1599040999, 1599041006, 1599041014
Categories: Ebooks

Product desciption

(Ebook) Intelligent computational paradigms in earthquake engineering by Nikos D. Lagaros, Nikos D. Lagaros; Yiannis Tsompanakis ISBN 9781599040998, 9781599041001, 9781599041018, 1599040999, 1599041006, 1599041014

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.
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