Development of Novel Hybrid Intelligent Predictive Models for Dilution Prediction in Underground Sub-level Mining
Tenuous dilution estimates in underground mine production scheduling continue to cause significant variations between schedule forecasts and actual production. This arises partly from the inference of dilution from predecessor stopes’ performance, disregarding that these stopes would have undergone...
| Main Authors: | Chimunhu, Prosper, Shirani Faradonbeh, Roohollah, Topal, Erkan, Ali Asad, Mohammad Waqar |
|---|---|
| Format: | Journal Article |
| Published: |
Springer
2024
|
| Online Access: | http://hdl.handle.net/20.500.11937/95501 |
Similar Items
Dilution prediction in underground open stope mining using gene expression programming and backpropagation artificial neural network algorithms
by: Chimunhu, Prosper, et al.
Published: (2025)
by: Chimunhu, Prosper, et al.
Published: (2025)
The future of underground mine planning in the era of machine learning: Opportunities for engineering robustness and flexibility
by: Chimunhu, Prosper, et al.
Published: (2024)
by: Chimunhu, Prosper, et al.
Published: (2024)
Predicting overbreak and underbreak in underground longhole stoping using meta-soft computing models
by: Taheri, Sina, et al.
Published: (2025)
by: Taheri, Sina, et al.
Published: (2025)
Application of artificial intelligence in distinguishing genuine microseismic events from the noise signals in underground mines
by: Shirani Faradonbeh, Roohollah, et al.
Published: (2024)
by: Shirani Faradonbeh, Roohollah, et al.
Published: (2024)
A heuristic approach to optimal design of an underground mine stope layout
by: Sandanayake, D., et al.
Published: (2015)
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)
by: Sandanayake, D., et al.
Published: (2014)
Using Artificial Neural Networks (ANNs) to Predict Stope Overbreak at Plutonic Underground Gold Mine
by: Boxwell, D., et al.
Published: (2014)
by: Boxwell, D., et al.
Published: (2014)
Designing an optimal stope layout for underground mining based on a heuristic algorithm
by: Sandanayake, D., et al.
Published: (2015)
by: Sandanayake, D., et al.
Published: (2015)
Determination of the transition Point from Open Pit to Underground Mining
by: Chung, J., et al.
Published: (2016)
by: Chung, J., et al.
Published: (2016)
Unplanned dilution and ore loss prediction in longhole stoping mines via multiple regression and artificial neural network analyses
by: Jang, Hyong Doo, et al.
Published: (2015)
by: Jang, Hyong Doo, et al.
Published: (2015)
Integrated Optimization of Underground Mine Design and Scheduling
by: Little, J, et al.
Published: (2013)
by: Little, J, et al.
Published: (2013)
Underground Blasting Optimization by Artificial Intelligence Techniques
by: Jang, Hyong Doo, et al.
Published: (2013)
by: Jang, Hyong Doo, et al.
Published: (2013)
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)
by: Jang, Hyong Doo, et al.
Published: (2014)
Harnessing machine learning for seismic event discrimination in deep underground mining: a case study from Western Australia
by: Shirani Faradonbeh, Roohollah, et al.
Published: (2024)
by: Shirani Faradonbeh, Roohollah, et al.
Published: (2024)
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)
by: Jang, Hyong Doo, et al.
Published: (2015)
Integrated short and medium term underground mine production scheduling
by: Nehring, M., et al.
Published: (2012)
by: Nehring, M., et al.
Published: (2012)
Intelligent Approaches for Predicting the Intact Rock Mechanical Parameters and Crack Stress Thresholds
by: Shakeri, Jamshid, et al.
Published: (2024)
by: Shakeri, Jamshid, et al.
Published: (2024)
Illumination of parameter contributions on uneven break phenomenon in underground stoping mines
by: Jang, Hyong Doo, et al.
Published: (2016)
by: Jang, Hyong Doo, et al.
Published: (2016)
Strategies to assist in obtaining an optimal solution for an underground mine planning problem using Mixed Integer Programming
by: Little, J., et al.
Published: (2011)
by: Little, J., et al.
Published: (2011)
Practical Models To Distinguish Between Seismic Events And Blast Signals
by: Shirani Faradonbeh, Roohollah, et al.
Published: (2023)
by: Shirani Faradonbeh, Roohollah, et al.
Published: (2023)
Application of predictive data mining to create mine plan flexibility in the face of geological uncertainty
by: Ajak, A., et al.
Published: (2017)
by: Ajak, A., et al.
Published: (2017)
A new mathematical programming model for production schedule optimisation in underground mining operations
by: Nehring, M., et al.
Published: (2010)
by: Nehring, M., et al.
Published: (2010)
Subsidence prediction and mine design for underground coal mining in the Collie Basin
by: Misich, Ian J.
Published: (1997)
by: Misich, Ian J.
Published: (1997)
Exploring digital twin systems in mining operations: A review. Green and Smart Mining Engineering
by: Nobahar, Pouya, et al.
Published: (2024)
by: Nobahar, Pouya, et al.
Published: (2024)
Implementation and comparison of four stope boundary optimization algorithms in an existing underground mine
by: Erdogan, G., et al.
Published: (2017)
by: Erdogan, G., et al.
Published: (2017)
Advanced AI-Powered Solutions for Predicting Blast-Induced Flyrock, Backbreak, and Rock Fragmentation
by: Nobahar, Pouya, et al.
Published: (2024)
by: Nobahar, Pouya, et al.
Published: (2024)
An Investigation to Integrate Optimum Long-Term Planning with Short Planning in Underground Mine Production Scheduling
by: Topal, Erkan, et al.
Published: (2010)
by: Topal, Erkan, et al.
Published: (2010)
Unplanned dilution and ore-loss optimisation in underground mines via cooperative neuro-fuzzy network
by: Jang, Hyong Doo
Published: (2014)
by: Jang, Hyong Doo
Published: (2014)
Net present value maximisation model for optimum cut-off grade policy of open pit mining operations
by: Asad, M., et al.
Published: (2011)
by: Asad, M., et al.
Published: (2011)
An underground air-route temperature prediction model for ultra-deep coal mines
by: Zhu, S., et al.
Published: (2015)
by: Zhu, S., et al.
Published: (2015)
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)
by: Dagasan, Y., et al.
Published: (2019)
Failure response of rocks under different cyclic loading histories
by: Taheri, Abbas, et al.
Published: (2023)
by: Taheri, Abbas, et al.
Published: (2023)
Monitoring blasting events in an underground mine with artificial intelligence techniques
by: Huang, L., et al.
Published: (2017)
by: Huang, L., et al.
Published: (2017)
Developments in Mine Design, Planning and Scheduling in Open Cut Mining
by: Saydam, S., et al.
Published: (2012)
by: Saydam, S., et al.
Published: (2012)
New approach for estimating total mining costs in surface coal mines
by: Shafiee, S., et al.
Published: (2012)
by: Shafiee, S., et al.
Published: (2012)
Mining (Australia)
by: Topal, Erkan, et al.
Published: (2012)
by: Topal, Erkan, et al.
Published: (2012)
The role of geological features in mine seismicity: Kanowna Belle case study
by: Moreira de Oliveira, Afranio L, et al.
Published: (2024)
by: Moreira de Oliveira, Afranio L, et al.
Published: (2024)
Modeling the Effects of Particle Shape on Damping Ratio of Dry Sand by Simple Shear Testing and Artificial Intelligence
by: Baghbani, Abolfazl, et al.
Published: (2023)
by: Baghbani, Abolfazl, et al.
Published: (2023)
Mining truck scheduling with stochastic maintenance cost
by: Topal, Erkan, et al.
Published: (2012)
by: Topal, Erkan, et al.
Published: (2012)
Mine waste rock management
by: Topal, Erkan, et al.
Published: (2012)
by: Topal, Erkan, et al.
Published: (2012)
Similar Items
-
Dilution prediction in underground open stope mining using gene expression programming and backpropagation artificial neural network algorithms
by: Chimunhu, Prosper, et al.
Published: (2025) -
The future of underground mine planning in the era of machine learning: Opportunities for engineering robustness and flexibility
by: Chimunhu, Prosper, et al.
Published: (2024) -
Predicting overbreak and underbreak in underground longhole stoping using meta-soft computing models
by: Taheri, Sina, et al.
Published: (2025) -
Application of artificial intelligence in distinguishing genuine microseismic events from the noise signals in underground mines
by: Shirani Faradonbeh, Roohollah, et al.
Published: (2024) -
A heuristic approach to optimal design of an underground mine stope layout
by: Sandanayake, D., et al.
Published: (2015)