Watch the Dallas Symposium LIVE, and fundraiser auction
Ticket proceeds support mindat.org! - click here...
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Kaunda, Rennie (2015) Predicting shear strengths of mine waste rock dumps and rock fill dams using artificial neural networks. International Journal of Mining and Mineral Engineering, 6 (2) 139 doi:10.1504/ijmme.2015.070378

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitlePredicting shear strengths of mine waste rock dumps and rock fill dams using artificial neural networks
JournalInternational Journal of Mining and Mineral Engineering
AuthorsKaunda, RennieAuthor
Year2015Volume6
Issue2
PublisherInderscience Publishers
DOIdoi:10.1504/ijmme.2015.070378Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID750973Long-form Identifiermindat:1:5:750973:9
GUID0
Full ReferenceKaunda, Rennie (2015) Predicting shear strengths of mine waste rock dumps and rock fill dams using artificial neural networks. International Journal of Mining and Mineral Engineering, 6 (2) 139 doi:10.1504/ijmme.2015.070378
Plain TextKaunda, Rennie (2015) Predicting shear strengths of mine waste rock dumps and rock fill dams using artificial neural networks. International Journal of Mining and Mineral Engineering, 6 (2) 139 doi:10.1504/ijmme.2015.070378
In(2015) International Journal of Mining and Mineral Engineering Vol. 6 (2) Inderscience Publishers

See Also

These are possibly similar items as determined by title/reference text matching only.

Nikbakhtan, B., Apel, D., Ahangari, K. (2015) Jet grouting: using artificial neural networks to predict soilcrete column diameter - part II. International Journal of Mining and Mineral Engineering, 6 (1) 57 doi:10.1504/ijmme.2015.067951
Ghadimi, Mostafa, Shahriar, Kourosh, Jalalifar, Hossein (2015) Improvement of rock bolt profiles using numerical method. International Journal of Mining and Mineral Engineering, 6 (4) 373 doi:10.1504/ijmme.2015.073049
Kaunda, Rennie (2014) New artificial neural networks for true triaxial stress state analysis and demonstration of intermediate principal stress effects on intact rock strength. Journal of Rock Mechanics and Geotechnical Engineering, 6 (4). 338-347 doi:10.1016/j.jrmge.2014.04.008
Gholamnejad, Javad, Kasmaee, Sara, Kohsary, Amirhosein, Nezamolhosseini, Ali (2012) Grade estimation of ore stockpiles by using Artificial Neural Networks: case study on Choghart Iron Mine in Iran. International Journal of Mining and Mineral Engineering, 4 (1) 17 doi:10.1504/ijmme.2012.047997
Akoto, Osei; Foli, Gordon; Peasah, Yaw Michael; Kusi, James (2025) Acid Mine Drainage and Metal Leaching Potential of a Waste Rock Dump. International Journal of Mining and Mineral Engineering, 16 (3). doi:10.1504/ijmme.2025.10071834
Gupta, Anup Kumar, Paul, Biswajit (2015) A review on utilisation of coal mine overburden dump waste as underground mine filling material: a sustainable approach of mining. International Journal of Mining and Mineral Engineering, 6 (2) 172 doi:10.1504/ijmme.2015.070380
Chandar, Karra Ram, Harish, Pudari (2024) A Review on Stability Analysis of Coal Mine Dumps. International Journal of Mining and Mineral Engineering, 15 (1) doi:10.1504/ijmme.2024.10063263
Harish, Pudari, Chandar, Karra Ram (2024) A review on stability analysis of coal mine dumps. International Journal of Mining and Mineral Engineering, 15 (1) 1-14 doi:10.1504/ijmme.2024.138722
Azizi, Asghar, Ghaedrahmati, Reza, Ghahramani, Nader, Rooki, Reza (2016) Modelling and simulation of the cyanidation process of Aghdareh gold ore using artificial neural network and multiple linear regression. International Journal of Mining and Mineral Engineering, 7 (2) 139 doi:10.1504/ijmme.2016.076497
Prakash, Satya (2024) Segregation of rock properties using machine learning algorithm with Euclidean Distance. International Journal of Mining and Mineral Engineering, 15 (1) doi:10.1504/ijmme.2024.10063629
Barnard, Chase K., Kallu, Raj R. (2017) Application of the refraction microtremor (ReMi) process for predicting change in rock characterisation and possible correlations with the rock mass rating (RMR) International Journal of Mining and Mineral Engineering, 8 (2) 83 doi:10.1504/ijmme.2017.084201
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Β© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 21, 2025 04:45:55
Go to top of page