Random Forest and Whale Optimization Algorithm to Predict the Invalidation Risk of Backfilling Pipeline
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- Sotirios K. Goudos & Zaharias D. Zaharis & Konstantinos B. Baltzis, 2018. "Particle Swarm Optimization as Applied to Electromagnetic Design Problems," International Journal of Swarm Intelligence Research (IJSIR), IGI Global, vol. 9(2), pages 47-82, April.
- Diyuan Li & Zida Liu & Danial Jahed Armaghani & Peng Xiao & Jian Zhou, 2022. "Novel Ensemble Tree Solution for Rockburst Prediction Using Deep Forest," Mathematics, MDPI, vol. 10(5), pages 1-23, March.
- Xiaoping Shao & Xin Li & Long Wang & Zhiyu Fang & Bingchao Zhao & Ershuai Liu & Yeqing Tao & Lang Liu, 2020. "Study on the Pressure-Bearing Law of Backfilling Material Based on Three-Stage Strip Backfilling Mining," Energies, MDPI, vol. 13(1), pages 1-16, January.
- Yang, Yongsheng & Khan, Faisal & Thodi, Premkumar & Abbassi, Rouzbeh, 2017. "Corrosion induced failure analysis of subsea pipelines," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 214-222.
- Chongchong Qi & Andy Fourie & Xuhao Du & Xiaolin Tang, 2018. "Prediction of open stope hangingwall stability using random forests," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(2), pages 1179-1197, June.
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Keywords
the invalidation risk of a backfilling pipeline; whale optimization algorithm; random forest; machine learning model;All these keywords.
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