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Reliability Analysis of Structures by Neural Network Supported Monte Carlo Methods

  • Kaliszuk J
  • Waszczyszyn Z
Physica-Verlag HD, (2003), 754-759
DOI: 10.1007/978-3-7908-1902-1_117
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Abstract

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.

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Kaliszuk, J., & Waszczyszyn, Z. (2003). Reliability Analysis of Structures by Neural Network Supported Monte Carlo Methods. In Neural Networks and Soft Computing (pp. 754–759). Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-1902-1_117

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