Development of MLR and variedly optimized ANN models for forecasting the detachability and liquefaction potential index of erodible soils

Development of MLR and variedly optimized ANN models for forecasting the detachability and liquefaction potential index of erodible soils

Soft computing techniques, such as artificial neural network (ANN) and multiple linear regression (MLR), have been found useful in the predictive modeling of environmental hazard indicators, even in areas with data scarcity. The detachability and liquefaction potential index (DLPI) is a numerical mo...

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Bibliographic Details
Main Authors: Johnbosco C. Egbueri, Ogbonnaya Igwe, Michael E. Omeka, Johnson C. Agbasi
Format: Article
Language:English
Published: Elsevier 2023-02-01
Series:Geosystems and Geoenvironment
Subjects:
Artificial neural network (ANN)
Detachability and liquefaction prediction index (DLPI)
Multiple linear regression (MLR)
Soil erodibility potential
Soil erosion prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S2772883822000796

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http://www.sciencedirect.com/science/article/pii/S2772883822000796

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