IMPLICIT MODELLING OF GEOLOGICAL DOMAINS BY SUPPORT VECTOR MACHINE: TUNING THE PARAMETERS BASED ON CONSISTENCY OF THE INDICATOR VARIOGRAM

dc.contributor.authorOngarbayev, Ilyas
dc.contributor.authorMadani, Nasser
dc.contributor.editorMusingwini, C
dc.contributor.editorWoodhall, M
dc.date.accessioned2021-09-22T10:49:41Z
dc.date.available2021-09-22T10:49:41Z
dc.date.issued2021-09
dc.description.abstract3D modelling of geological domains is an essential part of orebody modelling and resource classification. Conventionally, one applies a wireframing technique, which, in practice, is quite laborious. An automatic approach for building an implicit geological model is the application of the Support Vector Machine (SVM) algorithm. However, in this machine learning problem, the accuracy of models significantly depends on the selected parameters. Here, the authors introduce another criterion for selecting optimum parameters, in which the indicator variogram is considered as an aid. The results can be used as an instruction for implicit geomodelling, based on the SVM algorithm where one is dealing with two categories. Keywords: SVM, Support Vector Machine, indicator variogram, geological modelling, implicit geomodelling.
dc.identifier.citationOrganbayev, I., Madani, N. (2021). Implicit modelling of geological domains by support vector machine: Tuning the parameters based on consistency of the indicator variogram. In the proceeding of the APCOM 2021. Musingwini, C. Woodhall, M (eds.), Johannesburg, South Africa, p. 425-436.en_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/5837
dc.language.isoen_USen_US
dc.publisherAPCOM 2021en_US
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subjectGeostatistcsen_US
dc.subjectMineral resourceen_US
dc.subjectMachine learningen_US
dc.titleIMPLICIT MODELLING OF GEOLOGICAL DOMAINS BY SUPPORT VECTOR MACHINE: TUNING THE PARAMETERS BASED ON CONSISTENCY OF THE INDICATOR VARIOGRAMen_US
dc.typeConference Paperen_US
workflow.import.sourcescience

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