APA (7th ed.) Citation

Hu, W., Zhang, S., Fu, Y., Jia, G., Yang, R., Shen, S., . . . Li, G. (2023). Objective diagnosis of machine learning method applicability to land comprehensive carrying capacity evaluation: A case study based on integrated RF and DPSIR models. Ecological indicators, 151, 110338. https://doi.org/10.1016/j.ecolind.2023.110338

Chicago Style (17th ed.) Citation

Hu, Wenmin, Shibo Zhang, Yushan Fu, Guanyu Jia, Ruihan Yang, Shouyun Shen, Yi Li, and Guo Li. "Objective Diagnosis of Machine Learning Method Applicability to Land Comprehensive Carrying Capacity Evaluation: A Case Study Based on Integrated RF and DPSIR Models." Ecological Indicators 151 (2023): 110338. https://doi.org/10.1016/j.ecolind.2023.110338.

MLA (9th ed.) Citation

Hu, Wenmin, et al. "Objective Diagnosis of Machine Learning Method Applicability to Land Comprehensive Carrying Capacity Evaluation: A Case Study Based on Integrated RF and DPSIR Models." Ecological Indicators, vol. 151, 2023, p. 110338, https://doi.org/10.1016/j.ecolind.2023.110338.