Incorporating a machine learning approach for commodity price prediction to generate a cutoff grade optimisation policy under grade uncertainty

Simple item page
dc.article.end-page458en
dc.article.start-page437en
dc.citation.doi10.1080/17480930.2024.2420697en
dc.contributor.authorJoseph Githiriaen
dc.contributor.authorCuthbert Musingwinien
dc.contributor.authorMilka Madahanaen
dc.contributor.authorGift Khangamwaen
dc.date.accessioned2025-07-16T09:39:44Z
dc.facultyFACULTY OF ENGINEERING & THE BUILT ENVIRONMENTen
dc.identifier.citationSCOPUSen
dc.identifier.issn17480930en
dc.identifier.urihttps://hdl.handle.net/10539/45515
dc.journal.titleIncorporating a machine learning approach for commodity price prediction to generate a cutoff grade optimisation policy under grade uncertaintyen
dc.journal.volume39en
dc.school3.07en
dc.titleIncorporating a machine learning approach for commodity price prediction to generate a cutoff grade optimisation policy under grade uncertaintyen
dc.typeJournal Articleen

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Journal Article.pdf
Size:
4.47 MB
Format:
Adobe Portable Document Format
Description:
Bitstream uploaded by REST Client
Download

Collections

Academic Wits Research Outputs (All submissions)