4.6 Article

Comparative performance of six supervised learning methods for the development of models of hard rock pillar stability prediction

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 Geosciences, Multidisciplinary

Prediction of global stability in room and pillar coal mines

Ebrahim Ghasemi et al.

NATURAL HAZARDS (2014)

Article Geosciences, Multidisciplinary

An extreme learning machine approach for slope stability evaluation and prediction

Zaobao Liu et al.

NATURAL HAZARDS (2014)

Article Computer Science, Artificial Intelligence

Fault diagnosis of rolling element bearing by using multinomial logistic regression and wavelet packet transform

D. H. Pandya et al.

SOFT COMPUTING (2014)

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 Mining & Mineral Processing

Identification of large-scale goaf instability in underground mine using particle swarm optimization and support vector machine

Zhou Jian et al.

INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY (2013)

Article Computer Science, Artificial Intelligence

Gradient boosting trees for auto insurance loss cost modeling and prediction

Leo Guelman

EXPERT SYSTEMS WITH APPLICATIONS (2012)

Article Geosciences, Multidisciplinary

Superiority of neural networks for pillar stress prediction in bord and pillar method

M. Monjezi et al.

ARABIAN JOURNAL OF GEOSCIENCES (2011)

Article Engineering, Geological

Pillar strength in underground stone mines in the United States

G. S. Esterhuizen et al.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2011)

Article Metallurgy & Metallurgical Engineering

Predicting pillar stability for underground mine using Fisher discriminant analysis and SVM methods

Zhou Jian et al.

TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA (2011)

Article Computer Science, Interdisciplinary Applications

Predicting the potential habitat of oaks with data mining models and the R system

Rafael Pino-Mejias et al.

ENVIRONMENTAL MODELLING & SOFTWARE (2010)

Article Engineering, Civil

Earthquake induced damage classification for reinforced concrete buildings

Solomon Tesfamariam et al.

STRUCTURAL SAFETY (2010)

Article Computer Science, Interdisciplinary Applications

A numerical investigation of rock pillar failure mechanism in underground openings

A. Mortazavi et al.

COMPUTERS AND GEOTECHNICS (2009)

Article Engineering, Geological

Numerical simulation of coal pillar strength

Ashok Jaiswal et al.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2009)

Article Geosciences, Multidisciplinary

Data-driven topo-climatic mapping with machine learning methods

A. Pozdnoukhov et al.

NATURAL HAZARDS (2009)

Article Public, Environmental & Occupational Health

Modeling Uncertainties in Mining Pillar Stability Analysis

Maxime Cauvin et al.

RISK ANALYSIS (2009)

Article Statistics & Probability

A comparison of classification models to identify the Fragile X Syndrome

Rafael Pino-Mejias et al.

JOURNAL OF APPLIED STATISTICS (2008)

Article Biochemical Research Methods

Predicting human liver microsomal stability with machine learning techniques

Yojiro Sakiyama et al.

JOURNAL OF MOLECULAR GRAPHICS & MODELLING (2008)

Article Computer Science, Interdisciplinary Applications

Building Predictive Models in R Using the caret Package

Max Kuhn

JOURNAL OF STATISTICAL SOFTWARE (2008)

Review Biochemical Research Methods

Supervised pattern recognition in food analysis

Luis A. Berrueta et al.

JOURNAL OF CHROMATOGRAPHY A (2007)

Article Engineering, Geological

Prediction of surface crown pillar stability using artificial neural networks

A. S. Tawadrous et al.

INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS (2007)

Article Engineering, Geological

A comparative analysis of pillar design methods and its application to marble mines

C. Gonzalez-Nicieza et al.

ROCK MECHANICS AND ROCK ENGINEERING (2006)

Article Biochemical Research Methods

Prediction error estimation: a comparison of resampling methods

AM Molinaro et al.

BIOINFORMATICS (2005)

Article Computer Science, Artificial Intelligence

Sparse multinomial logistic regression: Fast algorithms and generalization bounds

B Krishnapuram et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2005)

Article Computer Science, Artificial Intelligence

Predicting the type of pregnancy using artificial neural networks and multinomial logistic regression: a comparison study

SM Sadat-Hashemi et al.

NEURAL COMPUTING & APPLICATIONS (2005)

Article Engineering, Geological

Numerical modeling study of asymmetry in the induced stresses over coal mine pillars with advancement of the goaf line

A Jaiswal et al.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2004)

Article Engineering, Geological

Pillar design by combining finite element methods, neural networks and reliability: a case study of the Feng Huangshan copper mine, China

J Deng et al.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2003)

Article Engineering, Geological

Probabilistic analysis of underground pillar stability

DV Griffiths et al.

INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS (2002)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)

Article Statistics & Probability

Greedy function approximation: A gradient boosting machine

JH Friedman

ANNALS OF STATISTICS (2001)

Article Engineering, Geological

The strength of hard-rock pillars

CD Martin et al.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2000)