Modeling of electrical resistivity of soil based on geotechnical properties
作者：
Highlights：
• Electrical resistivity of soil is modelled by its geotechnical properties.
• Several linear, non-linear and artificial neural networks models are developed.
• Guidelines in the development and quality analysis of the models are provided.
• The models demonstrate significant exponential negative relationships.
• Artificial neural networks show much greater accuracy than other models.
摘要
•Electrical resistivity of soil is modelled by its geotechnical properties.•Several linear, non-linear and artificial neural networks models are developed.•Guidelines in the development and quality analysis of the models are provided.•The models demonstrate significant exponential negative relationships.•Artificial neural networks show much greater accuracy than other models.
论文关键词：Modeling,Non-linear models,Artificial neural network,Electrical resistivity,Compacted clays
论文评审过程：Received 22 July 2018, Revised 8 September 2019, Accepted 18 September 2019, Available online 19 September 2019, Version of Record 26 September 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.112966
