A novel artificial intelligence approach for regolith geochemical grade prediction using multivariate adaptive regression splines

A novel artificial intelligence approach for regolith geochemical grade prediction using multivariate adaptive regression splines

The necessity for applying a potent analytical regolith geochemical grade estimator is driven by the reality of mineral exploration. This is because many exploration geologists rely upon the classical geostatistical method of Kriging which oftentimes do not produce accurate predictions due to the co...

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Bibliographic Details
Main Authors: Fareed Majeed, Yao Yevenyo Ziggah, Charles Kusi-Manu, Bemah Ibrahim, Isaac Ahenkorah
Format: Article
Language:English
Published: Elsevier 2022-05-01
Series:Geosystems and Geoenvironment
Subjects:
Multivariate adaptive regression spline
Artificial intelligence techniques
Kriging geostatistical technique
Ashanti belt
Geochemical grade prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S2772883822000176

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http://www.sciencedirect.com/science/article/pii/S2772883822000176

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