A novel technique based on the improved firefly algorithm coupled with extreme learning machine (ELM-IFF) for predicting the thermal conductivity of soil
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...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Published: |
Springer Verlag
2022
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/41831/ |
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