Support vector regression approach with different kernel functions for predicting blast-induced ground vibration: a case study in an open-pit coal mine of Vietnam

By Hoang Nguyen. SN Applied Sciences, 2019

53 citations recorded by the source corpus.

Subfields: Management, Monitoring, Policy and Law, Mechanics of Materials, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/f9d3c6f7f471275c1d233340e3d425537926b911

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management, Monitoring, Policy and Law

1. Jie Dou
2. Jian Zhou
3. L. Le
4. Panagiotis G. Asteris
5. Xuan-Nam Bui
6. Hossein Moayedi
7. Jin Duan

In Mechanics of Materials

1. Jian Zhou
2. Jie Dou
3. L. Le
4. Xuan-Nam Bui
5. Hossein Moayedi
6. Jin Duan
7. Panagiotis G. Asteris
8. Hoang Nguyen

In Safety, Risk, Reliability and Quality

1. Jie Dou
2. Jian Zhou
3. L. Le
4. Panagiotis G. Asteris
5. Jin Duan
6. Xuan-Nam Bui
7. Hossein Moayedi

Citations in the corpus

• A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model (2020, methodology): “For estimating problems, Cortes and Vapnik [68] introduced SVM with the capability of wide application as a benchmark machine learning approach.”
• A Comparative Study of PSO-ANN, GA-ANN, ICA-ANN, and ABC-ANN in Estimating the Heating Load of Buildings’ Energy Efficiency for Smart City Planning (2019, methodology): “According to the previous studies, the original dataset should be divided into two parts by randomly according to the 80/20 ratio [76,77].”