Response Surface Method for Reliability Analysis Based on Iteratively-Reweighted-Least-Square Extreme Learning Machines
نویسندگان
چکیده
A response surface method for reliability analysis based on iteratively-reweighted-least-square extreme learning machines (IRLS-ELM) is explored in this paper, which, highly nonlinear implicit performance functions of structures are approximated by the IRLS-ELM. Monte Carlo simulation then carried out approximate IRLS-ELM structural analysis. Some numerical examples given to illustrate proposed method. The effects parameters involved accuracy respectively discussed. results exhibit that a proper number samples and neurons hidden layer nodes, an appropriate regularization parameter, iterations reweighting important assurance obtain reasonable precision estimating failure probability.
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ژورنال
عنوان ژورنال: Electronics
سال: 2023
ISSN: ['2079-9292']
DOI: https://doi.org/10.3390/electronics12071741