Advanced machine learning model for better prediction accuracy of soil temperature at different depths

• Main Authors: Alizamir, Meysam, Kisi, Ozgur, Ahmed, Ali Najah, Mert, Cihan, Fai, Chow Ming, Kim, Sungwon, Kim, Nam Won, El-Shafie, Ahmed
• Format: Article
• Published: Public Library of Science 2020
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/37759/

Soil temperature has a vital importance in biological, physical and chemical processes of terrestrial ecosystem and its modeling at different depths is very important for land-atmosphere interactions. The study compares four machine learning techniques, extreme learning machine (ELM), artificial neu...