Genetic programming for prediction of heat stress hazard in underground coal mine environment-Reference-Cited by-同舟云学术

Genetic programming for prediction of heat stress hazard in underground coal mine environment

Published:2022-07-17 Issue:3 Volume:114 Page:2527-2543
ISSN:0921-030X
Container-title:Natural Hazards
language:en
Short-container-title:Nat Hazards

Author:

Roy Siddhartha,Mishra Devi Prasad^ORCID,Bhattacharjee Ram Madhab,Agrawal Hemant

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology

Link

https://link.springer.com/content/pdf/10.1007/s11069-022-05478-6.pdf

Reference46 articles.

1. ACGIH (2019) Threshold limit values for chemical substances and physical agents and biological exposure indices. Signature Publications, Cincinnati

2. Asadi M, Eftekhari M, Bagheripour MH (2011) Evaluating the strength of intact rocks through genetic programming. Appl Soft Comput J 11:1932–1937. https://doi.org/10.1016/j.asoc.2010.06.009

3. Baykasoǧlu A, Güllü H, Çanakçi H, Özbakir L (2008) Prediction of compressive and tensile strength of limestone via genetic programming. Expert Syst Appl 35:111–123. https://doi.org/10.1016/j.eswa.2007.06.006

4. Beiki M, Bashari A, Majdi A (2010) Genetic programming approach for estimating the deformation modulus of rock mass using sensitivity analysis by neural network. Int J Rock Mech Min Sci 47:1091–1103. https://doi.org/10.1016/j.ijrmms.2010.07.007

5. Belle B, Biffi M (2018) Cooling pathways for deep Australian longwall coal mines of the future. Int J Min Sci Technol 28:865–875. https://doi.org/10.1016/j.ijmst.2018.02.001

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