Modeling the proportion of cut slopes rock on forest roads using artificial neural network and ordinal linear regression.

Abstract

Rock proportion of subsoil directly influences the cost of embankment in forest road construction. Therefore, developing a reliable framework for rock ratio estimation prior to the road planning could lead to more light excavation and less cost operations. Prediction of rock proportion was subjected to statistical analyses using the application of… (More)
DOI: 10.1007/s10661-015-4688-y

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Cite this paper

@article{Babapour2015ModelingTP, title={Modeling the proportion of cut slopes rock on forest roads using artificial neural network and ordinal linear regression.}, author={Razieh Babapour and Ramin Naghdi and Ismael Ghajar and Razieh Ghodsi}, journal={Environmental monitoring and assessment}, year={2015}, volume={187 7}, pages={446} }