@inproceedings{a2471c94e9f54417af073ba7742fdf49,
title = "ANN-based response surface method and its application to ultimate strength of plates",
abstract = "In this paper, artificial neural networks (ANN)-based response surface method (RSM) is presented. This method is compared with conventional polynomial-based RSM in the context of structural reliability analysis. ANN-based RSM is then applied to predict ultimate strength of unstiffened plates. It is found out that the ANN-based RSM is more accurate and efficient than polynomial-based RSM in structural reliability analysis. ANN-based RSM can more accurately predict ultimate strength of unstiffened plates than the existing empirical formulae.",
keywords = "ANN-based response surface method, artificial neural networks, response surface method, ultimate strength of plates, design equations of plates",
author = "Y.C. Pu and E. Mesbahi and {El Hewy}, A.H.",
year = "2005",
language = "English",
series = "International Offshore and Polar Engineering Conference Proceedings",
publisher = "The International Society Offshore and Polar Engineers",
pages = "752--758",
booktitle = "Proceedings of the Fifteenth (2005) International Offshore and Polar Engineering Conference, Vol 4",
address = "United States",
}