4.6 Article

Rockburst prediction in hard rock mines developing bagging and boosting tree-based ensemble techniques

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Interdisciplinary Applications

Performance evaluation of hybrid FFA-ANFIS and GA-ANFIS models to predict particle size distribution of a muck-pile after blasting

Jian Zhou et al.

Summary: The study optimized the parameters of ANFIS using the firefly algorithm and genetic algorithm, comparing the accuracy of particle size prediction models and finding the ANFIS-GA model performed the best.

ENGINEERING WITH COMPUTERS (2021)

Article Computer Science, Interdisciplinary Applications

Investigating the effective parameters on the risk levels of rockburst phenomena by developing a hybrid heuristic algorithm

Jian Zhou et al.

Summary: This paper integrates the firefly algorithm and artificial neural network to accurately predict the risk of rockburst in deep mines and tunnels. The hybrid model successfully determines different hazard levels under various conditions and offers new solutions for classification based on success rates.

ENGINEERING WITH COMPUTERS (2021)

Article Automation & Control Systems

Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate

Jian Zhou et al.

Summary: This research aims to optimize the hyper-parameters of the support vector machine technique through the use of three optimization algorithms, namely gray wolf optimization, whale optimization algorithm, and moth flame optimization, for predicting the advance rate of a tunnel boring machine in hard rock conditions. The results indicate that the moth flame optimization algorithm can better capture the hyperparameters of the SVM model in predicting TBM AR.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2021)

Article Computer Science, Interdisciplinary Applications

Novel approach for forecasting the blast-induced AOp using a hybrid fuzzy system and firefly algorithm

Jian Zhou et al.

ENGINEERING WITH COMPUTERS (2020)

Article Computer Science, Artificial Intelligence

Cost-sensitive KNN classification

Shichao Zhang

NEUROCOMPUTING (2020)

Article Computer Science, Interdisciplinary Applications

Evaluation of rockburst occurrence and intensity in underground structures using decision tree approach

Ebrahim Ghasemi et al.

ENGINEERING WITH COMPUTERS (2020)

Article Engineering, Environmental

Prediction of rockburst risk in underground projects developing a neuro-bee intelligent system

Jian Zhou et al.

BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2020)

Article Engineering, Geological

New Method for Characterizing the Shear Damage of Natural Rock Joint Based on 3D Engraving and 3D Scanning

Quan Jiang et al.

INTERNATIONAL JOURNAL OF GEOMECHANICS (2020)

Article Metallurgy & Metallurgical Engineering

Experimental simulation investigation of influence of depth on spalling characteristics in circular hard rock tunnel

Luo Yong et al.

JOURNAL OF CENTRAL SOUTH UNIVERSITY (2020)

Article Engineering, Geological

Strength-weakening effect and shear-tension failure mode transformation mechanism of rockburst for fine-grained granite under triaxial unloading compression

Xuefeng Si et al.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2020)

Article Computer Science, Interdisciplinary Applications

Long-term prediction of rockburst hazard in deep underground openings using three robust data mining techniques

Roohollah Shirani Faradonbeh et al.

ENGINEERING WITH COMPUTERS (2019)

Article Engineering, Geological

A peak-strength strain energy storage index for rock burst proneness of rock materials

Fengqiang Gong et al.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2019)

Article Engineering, Geological

Experimental Investigation of Strain Rockburst in Circular Caverns Under Deep Three-Dimensional High-Stress Conditions

Feng-qiang Gong et al.

ROCK MECHANICS AND ROCK ENGINEERING (2019)

Article Construction & Building Technology

Failure characteristics and stress distribution of pre-stressed rock specimen with circular cavity subjected to dynamic loading

Ming Tao et al.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2018)

Article Construction & Building Technology

A fuzzy comprehensive evaluation methodology for rock burst forecasting using microseismic monitoring

Wu Cai et al.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2018)

Article Construction & Building Technology

Experimental simulation investigation on rockburst induced by spalling failure in deep circular tunnels

Feng-qiang Gong et al.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2018)

Review Construction & Building Technology

Evaluation method of rockburst: State-of-the-art literature review

Jian Zhou et al.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2018)

Article Automation & Control Systems

Training ANFIS Using the Enhanced Bees Algorithm and Least Squares Estimation

Hosein Marzi et al.

INTELLIGENT AUTOMATION AND SOFT COMPUTING (2017)

Article Construction & Building Technology

Rockburst characteristics and numerical simulation based on a strain energy density index: A case study of a roadway in Linglong gold mine, China

Lei Weng et al.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2017)

Article Metallurgy & Metallurgical Engineering

Rock burst prediction based on genetic algorithms and extreme learning machine

Li Tian-zheng et al.

JOURNAL OF CENTRAL SOUTH UNIVERSITY (2017)

Article Metallurgy & Metallurgical Engineering

Assessment and analysis of strata movement with special reference to rock burst mechanism in island longwall panel

Zhu Guang-an et al.

JOURNAL OF CENTRAL SOUTH UNIVERSITY (2017)

Review Engineering, Geological

Failure mechanism and coupled static-dynamic loading theory in deep hard rock mining: A review

Xibing Li et al.

JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING (2017)

Article Computer Science, Interdisciplinary Applications

Classification of Rockburst in Underground Projects: Comparison of Ten Supervised Learning Methods

Jian Zhou et al.

JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2016)

Article Metallurgy & Metallurgical Engineering

Feasibility of stochastic gradient boosting approach for predicting rockburst damage in burst-prone mines

Jian Zhou et al.

TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA (2016)

Article Engineering, Geological

Predicting rockburst tendency based on fuzzy matter-element model

Chunlai Wang et al.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2015)

Article Statistics & Probability

adabag: AnRPackage for Classification with Boosting and Bagging

Esteban Alfaro et al.

Journal of Statistical Software (2015)

Article Engineering, Geological

Knowledge-based and data-driven fuzzy modeling for rockburst prediction

Amoussou Coffi Adoko et al.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2013)

Article Computer Science, Interdisciplinary Applications

Predicting Disputes in Public-Private Partnership Projects: Classification and Ensemble Models

Jui-Sheng Chou et al.

JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2013)

Article Geosciences, Multidisciplinary

Prediction of rock burst classification using the technique of cloud models with attribution weight

Zaobao Liu et al.

NATURAL HAZARDS (2013)

Article Mathematical & Computational Biology

Multi-class AdaBoost

Trevor Hastie et al.

Statistics and Its Interface (2013)

Article Computer Science, Artificial Intelligence

SSC: A Classifier Combination Method Based on Signal Strength

Haibo He et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2012)

Article Engineering, Geological

Studies on classification, criteria and control of rockbursts

Manchao He et al.

JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING (2012)

Article Engineering, Environmental

Rockburst characteristics and numerical simulation based on a new energy index: a case study of a tunnel at 2,500 m depth

Quan Jiang et al.

BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2010)

Article Computer Science, Artificial Intelligence

Ensemble with neural networks for bankruptcy prediction

Myoung-Jong Kim et al.

EXPERT SYSTEMS WITH APPLICATIONS (2010)

Article Computer Science, Artificial Intelligence

Bankruptcy forecasting:: An empirical comparison of AdaBoost and neural networks

Esteban Alfaro et al.

DECISION SUPPORT SYSTEMS (2008)

Article Statistics & Probability

Unbiased recursive partitioning: A conditional inference framework

Torsten Hothorn et al.

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2006)