Comparative analysis of machine learning techniques for accurate prediction of unfrozen water content in frozen soils-Reference-Cited by-同舟云学术

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Comparative analysis of machine learning techniques for accurate prediction of unfrozen water content in frozen soils

Published:2024-11 Issue: Volume:227 Page:104304
ISSN:0165-232X
Container-title:Cold Regions Science and Technology
language:en
Short-container-title:Cold Regions Science and Technology

Author:

Li Jiaxian,Zhou Pengcheng,Pu Yiqing,Ren Junping,Zhang Fanyu,Wang Chong

Publisher

Elsevier BV

Reference78 articles.

1. Effects of distance measure choice on k-nearest neighbor classifier performance: a review;Abu Alfeilat;Big data,2019

2. Predicting unfrozen water contents in frozen soils from surface area measurements;Anderson;Highw. Res. Rec.,1972

3. Using machine learning for prediction of saturated hydraulic conductivity and its sensitivity to soil structural perturbations;Araya;Water Resour. Res.,2019

4. Application of artificial intelligence in geotechnical engineering: a state-of-the-art review;Baghbani;Earth Sci. Rev.,2022

5. Theory and application of a novel soil freezing characteristic curve;Bai;Appl. Therm. Eng.,2018

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