A novel technique based on the improved firefly algorithm coupled with extreme learning machine (ELM-IFF) for predicting the thermal conductivity of soil

• Main Authors: Kardani, Navid, Bardhan, Abidhan, Samui, Pijush, Nazem, Majidreza, Zhou, Annan, Armaghani, Danial Jahed
• Format: Article
• Published: Springer Verlag 2022
• Subjects: QA75 Electronic computers. Computer science; TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/41831/

Thermal conductivity is a specific thermal property of soil which controls the exchange of thermal energy. If predicted accurately, the thermal conductivity of soil has a significant effect on geothermal applications. Since the thermal conductivity is influenced by multiple variables including soil...