APA (7th ed.) Citation

Wang, J., Kong, Z., Shan, J., Du, C., & Wang, C. (2024). Corrosion Rate Prediction of Buried Oil and Gas Pipelines: A New Deep Learning Method Based on RF and IBWO-Optimized BiLSTM–GRU Combined Model. Energies, 17(23), 5824.

Chicago Style (17th ed.) Citation

Wang, Jiong, Zhi Kong, Jinrong Shan, Chuanjia Du, and Chengjun Wang. "Corrosion Rate Prediction of Buried Oil and Gas Pipelines: A New Deep Learning Method Based on RF and IBWO-Optimized BiLSTM–GRU Combined Model." Energies 17, no. 23 (2024): 5824.

MLA (9th ed.) Citation

Wang, Jiong, et al. "Corrosion Rate Prediction of Buried Oil and Gas Pipelines: A New Deep Learning Method Based on RF and IBWO-Optimized BiLSTM–GRU Combined Model." Energies, vol. 17, no. 23, 2024, p. 5824.