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Intelligent Computational Paradigms In Earthquake Engineering Illustrated Edition Nikos D Lagaros

  • SKU: BELL-1186988
Intelligent Computational Paradigms In Earthquake Engineering Illustrated Edition Nikos D Lagaros
$ 31.00 $ 45.00 (-31%)

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Intelligent Computational Paradigms In Earthquake Engineering Illustrated Edition Nikos D Lagaros instant download after payment.

Publisher: Idea Group Pub
File Extension: PDF
File size: 38.76 MB
Pages: 463
Author: Nikos D. Lagaros, Nikos D. Lagaros; Yiannis Tsompanakis
ISBN: 9781599040998, 9781599041001, 9781599041018, 1599040999, 1599041006, 1599041014
Language: English
Year: 2007
Edition: illustrated edition

Product desciption

Intelligent Computational Paradigms In Earthquake Engineering Illustrated Edition Nikos D Lagaros by Nikos D. Lagaros, Nikos D. Lagaros; Yiannis Tsompanakis 9781599040998, 9781599041001, 9781599041018, 1599040999, 1599041006, 1599041014 instant download after payment.

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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