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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書目詳細資料
發表在:HELIYON
Main Authors: Rehman, Muhammad Ali; Abd Rahman, Norinah; Ibrahim, Ahmad Nazrul Hakimi; Kamal, Norashikin Ahmad; Ahmad, Asmadi
格式: Article
語言:English
出版: CELL PRESS 2024
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在線閱讀:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001203475200002