Unplanned dilution and ore loss prediction in longhole stoping mines via multiple regression and artificial neural network analyses

QR Code

Unplanned dilution and ore loss prediction in longhole stoping mines via multiple regression and artificial neural network analyses

Unplanned dilution and ore loss directly influence not only the productivity of underground stopes, but also the profitability of the entire mining process. Stope dilution is a result of complex interactions between a number of factors, and cannot be predicted prior to mining. In this study, unplann...

Full description

Bibliographic Details
Main Authors:	Jang, Hyong Doo, Topal, Erkan, Kawamura, Y.
Format:	Journal Article
Published:	South African Institute of Mining and Metallurgy 2015
Online Access:	http://www.scielo.org.za/scielo.php?script=sci_arttext&pid=S0038-223X2015000500018 http://hdl.handle.net/20.500.11937/42257

Similar Items

Decision support system of unplanned dilution and ore-loss in underground stoping operations using a neuro-fuzzy system
by: Jang, Hyong Doo, et al.
Published: (2015)

Unplanned dilution and ore-loss optimisation in underground mines via cooperative neuro-fuzzy network
by: Jang, Hyong Doo
Published: (2014)

A Case Study of Prediction and Analysis of Unplanned Dilution in an Underground Stoping Mine using Artificial Neural Network
by: Jang, Hyong Doo, et al.
Published: (2014)

Illumination of parameter contributions on uneven break phenomenon in underground stoping mines
by: Jang, Hyong Doo, et al.
Published: (2016)

Predicting overbreak and underbreak in underground longhole stoping using meta-soft computing models
by: Taheri, Sina, et al.
Published: (2025)

Using Artificial Neural Networks (ANNs) to Predict Stope Overbreak at Plutonic Underground Gold Mine
by: Boxwell, D., et al.
Published: (2014)

Transformation of the Australian mining industry and future prospects
by: Jang, Hyong Doo, et al.
Published: (2020)

Dilution prediction in underground open stope mining using gene expression programming and backpropagation artificial neural network algorithms
by: Chimunhu, Prosper, et al.
Published: (2025)

Pilot Point Optimization of Mining Boundaries for Lateritic Metal Deposits: Finding the Trade-off Between Dilution and Ore Loss
by: Dagasan, Y., et al.
Published: (2019)

Illumination of contributing parameters of uneven break in narrow vein mine
by: Jang, Hyong Doo, et al.
Published: (2019)

Underground Blasting Optimization by Artificial Intelligence Techniques
by: Jang, Hyong Doo, et al.
Published: (2013)

A heuristic approach to optimal design of an underground mine stope layout
by: Sandanayake, D., et al.
Published: (2015)

Designing an optimal stope layout for underground mining based on a heuristic algorithm
by: Sandanayake, D., et al.
Published: (2015)

Implementing a New Heuristic Approach to the Underground Mine Stope Layout Problem
by: Sandanayake, D., et al.
Published: (2014)

Implementation and comparison of four stope boundary optimization algorithms in an existing underground mine
by: Erdogan, G., et al.
Published: (2017)

A new algorithm for stope boundary optimization
by: Topal, Erkan, et al.
Published: (2010)

3-dimensional Modeling and Mining Analysis for Open-pit Limestone Mine Stope Using a Rotary-wing Unmanned Aerial Vehicle
by: Kang, S., et al.
Published: (2018)

Back analysis of over-break in a longhole open stope operating using non-linear elasto-plastic numerical modelling
by: Cepuritis, Peter, et al.
Published: (2010)

Energy consumption modeling using artificial neural networks: The case of the world’s highest consumers
by: Aydin, G, et al.
Published: (2016)

Optimizing overbreak prediction based on geological parameters comparing multiple regression analysis and artificial neural network
by: Jang, Hyongdoo, et al.
Published: (2013)

Simultaneous optimisation of stope boundaries and long term production scheduling for production shedules
by: Little, J., et al.
Published: (2011)

Australian Mining Transformation and Future Prospects in Response to the 4th Industrial Revolution
by: Jang, Hyong Doo
Published: (2019)

Stability Analysis of Mine Drift for Explosive Welding
by: Jang, Hyong Doo, et al.
Published: (2010)

A review of soft computing technology applications in several mining problems
by: Jang, H., et al.
Published: (2014)

Development of wireless sensor networks for underground communication and monitoring systems (the cases of underground mine environments)
by: Moridi, M., et al.
Published: (2018)

Development of Novel Hybrid Intelligent Predictive Models for Dilution Prediction in Underground Sub-level Mining
by: Chimunhu, Prosper, et al.
Published: (2024)

Development of a Remote Rock Fragmentation Size Distribution Measurement System for Surface Mines Using 3D Photogrammetry
by: Tungol, Z., et al.
Published: (2019)

An integrated approach to span design in open stope mining
by: Cepuritis, Peter M.
Published: (2010)

Stability analysis of mine drifts under pressured by blasting welding performance
by: Jang, Hyong Doo, et al.
Published: (2010)

Stope boundary optimisation in underground mining based on a heuristic approachStope boundary optimisation in underground mining based on a heuristic approach
by: Sandanayake, Don Suneth Sameera
Published: (2014)

Development of a Grade Control Technique Optimizing Dilution and Ore Loss Trade-off in Lateritic Bauxite Deposits
by: Dagasan, Yasin
Published: (2018)

Development of 3D rock fragmentation measurement system using photogrammetry
by: Jang, Hyong Doo, et al.
Published: (2019)

Iron ore prices and the value of the Australian dollar
by: Haque, M., et al.
Published: (2015)

Developments in Mine Design, Planning and Scheduling in Open Cut Mining
by: Saydam, S., et al.
Published: (2012)

Research into stope roof control of compound roof by solid backfilling mining
by: Gao, R., et al.
Published: (2015)

New approach for estimating total mining costs in surface coal mines
by: Shafiee, S., et al.
Published: (2012)

A review of cut-off grade policy models for open pit mining operations
by: Asad, Mohammad, et al.
Published: (2016)

Web-GIS Based Visualization System of Predicted Ground Vibration Induced by Blasting in Urban Quarry Sites
by: Kawamura, Youhei, et al.
Published: (2019)

An empirical approach of overbreak resistance factor for tunnel blasting
by: Jang, Hyong Doo, et al.
Published: (2019)

Visualization of Predicted Ground Vibration Induced by Blasting in Urban Quarry Site Utilizing Web-GIS
by: Moriyama, Y., et al.
Published: (2019)

Cannot write session to /tmp/vufind_sessions/sess_r7iprsfran15e8apvbh8hb8o9t