Machine learning application for radon release prediction from the copper ore mining in Sin Quyen, Lao Cai, North Vietnam

Tran Dinh Bao,Trong Vu,Nguyen Tai Tue,Tran Dang Quy,Thuy Huong Ngo Thi,Gergely Toth,Zsolt Homoki,Tibor Kovacs,Van-Hao Duong

Journal of Radioanalytical and Nuclear Chemistry（2023）

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摘要

The radon release prediction from radioactive-bearing mines during mineral processing and mining is an essential target. A simple one-hidden-layer artificial neural network (ANN) model was designed with low computation cost to train, reference and get optimum effectiveness in comparison with two-hidden-layer ANN, random forest and support vector machine models which was applied for Sin Quyen copper deposit. The result showed with values of MAPE = 1.12(

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关键词

Radon prediction,Sin Quyen,Machine learning,One-hidden-layer,ANN

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