Research on Tailings Dam Displacement Prediction Model Based on CNN

Yufei Wang, Jiawei Liu, Fei Li, Jiahe Wang, Yueshan Cheng, Haoru Wang

2023

Abstract

Tailings dam displacement prediction is one of the important elements of safety management in mining enterprises, and accurate prediction and timely maintenance measures are essential to prevent dam failure accidents. However, the existing prediction methods only consider the influence of single factor on tailings dam displacement, resulting in poor accuracy in predicting tailings dam displacements. Improving tailings dam displacement prediction accuracy, an intelligent prediction model based on CNN for tailings dam displacement prediction was established. The results show that the established CNN prediction model, MAE 0.07113, MSE 0.00733, RMSE 0.08565; the prediction results have prediction accuracy and stronger robustness compared with RF, NB and Xgboost prediction models. The research results in this paper are important to support safety and stability of tailing dam operation.

Paper Citation

in Harvard Style

Wang Y., Liu J., Li F., Wang J., Cheng Y. and Wang H. (2023). Research on Tailings Dam Displacement Prediction Model Based on CNN. In Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT; ISBN 978-989-758-677-4, SciTePress, pages 301-305. DOI: 10.5220/0012281900003807

in Bibtex Style

@conference{anit23,
author={Yufei Wang and Jiawei Liu and Fei Li and Jiahe Wang and Yueshan Cheng and Haoru Wang},
title={Research on Tailings Dam Displacement Prediction Model Based on CNN},
booktitle={Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT},
year={2023},
pages={301-305},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012281900003807},
isbn={978-989-758-677-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT
TI - Research on Tailings Dam Displacement Prediction Model Based on CNN
SN - 978-989-758-677-4
AU - Wang Y.
AU - Liu J.
AU - Li F.
AU - Wang J.
AU - Cheng Y.
AU - Wang H.
PY - 2023
SP - 301
EP - 305
DO - 10.5220/0012281900003807
PB - SciTePress