It is indicated in the literature that current empirical formulas are not able to predict the damage level very accurately for the conventional rubble-mound structures, leading to the unnecessary increase in the construction cost. Therefore, it is imperative to be able to accurately predict the damage level. This study presents a multivariate adaptive… (More)

Prediction of river pipeline scour depth using multivariate adaptive regression splines

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@article{Erdik2017RockSD,
title={Rock slope damage level prediction by using multivariate adaptive regression splines (MARS)},
author={Tarkan Erdik and Ali Osman Pektas},
journal={Neural Computing and Applications},
year={2017},
pages={1-10}
}