4.6 Article

Backbreak prediction in the Chadormalu iron mine using artificial neural network

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 Engineering, Geological

Prediction of Safe Charge to Protect Surrounding Structures Using Support Vector Machine

Manoj Khandelwal

GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2012)

Article Engineering, Geological

Mean particle size prediction in rock blast fragmentation using neural networks

P. H. S. W. Kulatilake et al.

ENGINEERING GEOLOGY (2010)

Article Computer Science, Artificial Intelligence

Prediction of backbreak in open-pit blasting using fuzzy set theory

M. Monjezi et al.

EXPERT SYSTEMS WITH APPLICATIONS (2010)

Article Engineering, Geological

Simultaneous prediction of fragmentation and flyrock in blasting operation using artificial neural networks

M. Monjezi et al.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2010)

Article Engineering, Geological

Evaluation and prediction of blast-induced ground vibration using support vector machine

Manoj Khandelwal

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2010)

Article Computer Science, Artificial Intelligence

Evaluating the strength and deformability properties of Misis fault breccia using artificial neural networks

S. Kahraman et al.

EXPERT SYSTEMS WITH APPLICATIONS (2009)

Article Engineering, Geological

Prediction of blast-induced ground vibration using artificial neural network

Manoj Khandelwal et al.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2009)

Article Engineering, Geological

Artificial neural network for prediction and control of blasting vibrations in Assiut (Egypt) limestone quarry

Mostafa Tantawy Mohamed

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2009)

Article Engineering, Geological

Evaluation of effect of blasting pattern parameters on back break using neural networks

M. Monjezi et al.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2008)

Article Construction & Building Technology

Application of artificial neural networks for predicting the cuttability of rocks by drag tools

Bulent Tiryaki

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2008)

Article Construction & Building Technology

Artificial neural networks analysis of Sao Paulo subway tunnel settlement data

Ovidio J. Santos et al.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2008)

Article Engineering, Geological

Theoretical Concept to Understand Plan and Design Smooth Blasting Pattern

S. Mandal et al.

GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2008)

Article Engineering, Geological

Evaluation of blast-induced ground vibration predictors

Manoj Khandelwal et al.

SOIL DYNAMICS AND EARTHQUAKE ENGINEERING (2007)

Article Computer Science, Interdisciplinary Applications

Underground blast induced ground shock and its modelling using artificial neural network

Y Lu

COMPUTERS AND GEOTECHNICS (2005)

Article Computer Science, Interdisciplinary Applications

Prediction of subsidence due to underground mining by artificial neural networks

T Ambrozic et al.

COMPUTERS & GEOSCIENCES (2003)

Article Engineering, Environmental

Prediction of unconfined compressive strength of cement paste containing industrial wastes

JA Stegemann et al.

WASTE MANAGEMENT (2003)