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- W66161373 abstract "This work presents a neural networks modelling to forecast steel beam's patch load resistance. In preceding studies, neural network results have been compared and calibrated with experimental data and existing design formulae, showing a good agreement. Despite these results, the adopted method did not properly consider the differences in behaviour of slender, intermediate and compact beams. This paper introduces a new strategy based on a single neural network containing all the 155 experimental results. The Neural Network presented a maximum error value lower than 30%, while the existing formulas presented errors greater than 40%." @default.
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- W66161373 date "2009-05-26" @default.
- W66161373 modified "2023-09-28" @default.
- W66161373 title "A Unified Neural Network Approach for Steel Beams Patch Load Capacity" @default.
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- W66161373 doi "https://doi.org/10.4203/ccp.74.14" @default.
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