Estimation of soil erodibility in Peninsular Malaysia: A case study using multiple linear regression and artificial neural networks

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Estimation of soil erodibility in Peninsular Malaysia: A case study using multiple linear regression and artificial neural networks

Soil erodibility (K) is an essential component in estimating soil loss indicating the soil's susceptibility to detach and transport. Data Computing and processing methods, such as artificial neural networks (ANNs) and multiple linear regression (MLR), have proven to be helpful in the developmen...

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Bibliographic Details
Published in:	Heliyon
Main Author:	Rehman M.A.; Abd Rahman N.; Ibrahim A.N.H.; Kamal N.A.; Ahmad A.
Format:	Article
Language:	English
Published:	Elsevier Ltd 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189442828&doi=10.1016%2fj.heliyon.2024.e28854&partnerID=40&md5=4023a18f76ffe1fca4cfcf59708d43c5

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