APA (7th ed.) Citation

Naghibi, S. A., Ahmadi, K., & Daneshi, A. (2017). Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping. Water resources management, 31(9), 2761-2775. https://doi.org/10.1007/s11269-017-1660-3

Chicago Style (17th ed.) Citation

Naghibi, Seyed Amir, Kourosh Ahmadi, and Alireza Daneshi. "Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping." Water Resources Management 31, no. 9 (2017): 2761-2775. https://doi.org/10.1007/s11269-017-1660-3.

MLA (9th ed.) Citation

Naghibi, Seyed Amir, et al. "Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping." Water Resources Management, vol. 31, no. 9, 2017, pp. 2761-2775, https://doi.org/10.1007/s11269-017-1660-3.

Warning: These citations may not always be 100% accurate.