Rock slope damage level prediction by using multivariate adaptive regression splines (MARS)

Abstract

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)
DOI: 10.1007/s00521-017-3186-2

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Cite this paper

@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} }