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Structural reliability : statistical learning perspectives /

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This monograph presents an original approach to Structural Reliability from the perspective of Statistical Learning Theory. It proposes new methods for solving the reliability problem utilizing the recent developments in Computational Learning Theory, such as Neural Networks and Support Vector machi...

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Bibliographic Details
Main Author: Hurtado, Jorge E.
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berlin ; New York : Springer, [2004]
Series:Lecture notes in applied and computational mechanics ; volume 17.
Subjects:
Structural stability > Statistical methods.
Reliability (Engineering) > Statistical methods.
Strukturmechanik.
Zuverlässigkeit.
Maschinelles Lernen.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • A Discussion on Structural Reliabilty Methods
  • Fundamental Concepts of Statistical Learning
  • Dimension Reduction and Data Compression
  • Classification Methods I - Neural Networks
  • Classification Methods II - Support Vector Machines
  • Regression Methods
  • Classification Approaches to Reliability Indexation.