Reliability Analysis of Structures by Neural Network Supported Monte Carlo Methods

  • Joanna Kaliszuk
  • Zenon Waszczyszyn
Part of the Advances in Soft Computing book series (AINSC, volume 19)


A forward neural network is used for generating samples in the Monte Carlo Methods. The patterns for network training and testing are computed by a FE program. A high numerical efficiency of the proposed approach is demonstrated on example of a plane multistorey elastoplastic frame.


Monte Carlo Simulation Ultimate Load Structural Reliability Sampling Monte Carlo Simulation Reliability Curve 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Joanna Kaliszuk
    • 1
  • Zenon Waszczyszyn
    • 2
  1. 1.Department of Civil and Environmental EngineeringUniversity of Zielona GóraZielona GóraPoland
  2. 2.Institute of computer Methods in Civil EngineeringCracow University of TechnologyKrakówPoland

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