A Comparative Study of Different Machine Learning Algorithms in Predicting the Content of Ilmenite in Titanium Placer

A Comparative Study of Different Machine Learning Algorithms in Predicting the Content of Ilmenite in Titanium Placer

In this study, the ilmenite content in beach placer sand was estimated using seven soft computing techniques, namely random forest (RF), artificial neural network (ANN), <i>k</i>-nearest neighbors (kNN), cubist, support vector machine (SVM), stochastic gradient boosting (SGB), and classi...

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Bibliographic Details
Main Authors: Yingli LV, Qui-Thao Le, Hoang-Bac Bui, Xuan-Nam Bui, Hoang Nguyen, Trung Nguyen-Thoi, Jie Dou, Xuan Song
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Applied Sciences
Subjects:
titanium placer
beach placer
ilmenite content
artificial intelligence
applied soft computing
Online Access:https://www.mdpi.com/2076-3417/10/2/635

Internet

https://www.mdpi.com/2076-3417/10/2/635

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