Article Versions Notes

Xu L, Yu J, Zhu Z, Man J, Yu P, Li C, Wang X, Zhao Y. Research and Application for Corrosion Rate Prediction of Natural Gas Pipelines Based on a Novel Hybrid Machine Learning Approach. Coatings. 2023; 13(5):856. https://doi.org/10.3390/coatings13050856

Xu, Lei, Jin Yu, Zhenyu Zhu, Jianfeng Man, Pengfei Yu, Changjun Li, Xueting Wang, and Yuanqi Zhao. 2023. "Research and Application for Corrosion Rate Prediction of Natural Gas Pipelines Based on a Novel Hybrid Machine Learning Approach" Coatings 13, no. 5: 856. https://doi.org/10.3390/coatings13050856

Xu, L., Yu, J., Zhu, Z., Man, J., Yu, P., Li, C., Wang, X., & Zhao, Y. (2023). Research and Application for Corrosion Rate Prediction of Natural Gas Pipelines Based on a Novel Hybrid Machine Learning Approach. Coatings, 13(5), 856. https://doi.org/10.3390/coatings13050856