A study on environmental issues of blasting using advanced support vector machine algorithms-Reference-Cited by-同舟云学术

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A study on environmental issues of blasting using advanced support vector machine algorithms

Published:2022-02-23 Issue:7 Volume:19 Page:6221-6240
ISSN:1735-1472
Container-title:International Journal of Environmental Science and Technology
language:en
Short-container-title:Int. J. Environ. Sci. Technol.

Author:

Chen L.,Armaghani D. J.,Fakharuab P.,Bhatawdekar R. M.,Samui P.,Khandelwal M.,Khedher K. M.

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences,Environmental Chemistry,Environmental Engineering

Link

https://link.springer.com/content/pdf/10.1007/s13762-022-03999-y.pdf

Reference55 articles.

1. Armaghani DJ, Hajihassani M, Mohamad ET, Marto A, Noorani SA (2014) Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization. Arab J Geosci 7(12):5383–5396

2. Armaghani DJ, Harandizadeh H, Momeni E, Maizir H, Zhou J (2021) An optimized system of GMDH-ANFIS predictive model by ICA for estimating pile bearing capacity. Artif Intell Rev 54(7):1–38. https://doi.org/10.1007/s10462-021-10065-5

3. Armaghani DJ, Momeni E, Abad SVANK, Khandelwal M (2015) Feasibility of ANFIS model for prediction of ground vibrations resulting from quarry blasting. Environ Earth Sci 74(4):2845–2860. https://doi.org/10.1007/s12665-015-4305-y

4. Asteris PG, Mamou A, Hajihassani M, Hasanipanah M, Koopialipoor M, Le T-T, Kardani N, Armaghani DJ (2021) Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks. Transp Geotech 29:100588

5. Chen S-Y, Lu C-C (2015) A model of green acceptance and intentions to use bike-sharing: youbike users in Taiwan. Netw Spat Econ 16(4):1103–1124. https://doi.org/10.1007/s11067-015-9312-8

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