How can statistical and artificial intelligence approaches predict piping erosion susceptibility?
Abstract
It is of fundamental importance to model the relationship between geo-environmental factors and piping erosion because of the environmental degradation attributed to soil loss. Methods that identify areas prone to piping erosion at the regional scale are limited. The main objective of this research is to develop a novel modeling approach by using three machine learning algorithms—mixture discriminant analysis (MDA), flexible discriminant...
Paper Details
Title
How can statistical and artificial intelligence approaches predict piping erosion susceptibility?
Published Date
Jan 1, 2019
Volume
646
Pages
1554 - 1566
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