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...
| Published in: | Heliyon |
|---|---|
| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Elsevier Ltd
2024
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| 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 |