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.) CitationNaghibi, 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.) CitationNaghibi, 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.