Hybrid stacking ensemble algorithm and simulated annealing optimization for stability evaluation of underground entry-type excavations-Reference-Cited by-同舟云学术

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Hybrid stacking ensemble algorithm and simulated annealing optimization for stability evaluation of underground entry-type excavations

Published:2023-12 Issue: Volume: Page:
ISSN:2467-9674
Container-title:Underground Space
language:en
Short-container-title:Underground Space

Author:

Liu Leilei,Zhao Guoyan,Liang Weizhang,Jian Zheng

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Building and Construction,Civil and Structural Engineering

Reference78 articles.

1. Machine learning based approach for the interpretation of engineering geophysical sounding logs;Abordan;Acta Geodaetica et Geophysica,2021

2. A modified Artificial Bee Colony algorithm for real-parameter optimization;Akay;Information Sciences,2012

3. Comparative Assessment of Individual and Ensemble Machine Learning Models for Efficient Analysis of River Water Quality;Alqahtani;Sustainability,2022

4. Permutation importance: A corrected feature importance measure;Altmann;Bioinformatics,2010

5. Multigene Expression Programming Based Forecasting the Hardened Properties of Sustainable Bagasse Ash Concrete;Amin;Materials,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An enhanced stability evaluation system for entry-type excavations: Utilizing a hybrid bagging-SVM model, GP and kriging techniques;Journal of Rock Mechanics and Geotechnical Engineering;2024-07

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