Yang, N., Zhang, Z., Yang, J., & Hong, Z. (2022). Mineral Prospectivity Prediction by Integration of Convolutional Autoencoder Network and Random Forest. Natural resources research (New York, N.Y.), 31(3), 1103-1119. https://doi.org/10.1007/s11053-022-10038-7
Chicago Style (17th ed.) CitationYang, Na, Zhenkai Zhang, Jianhua Yang, and Zenglin Hong. "Mineral Prospectivity Prediction by Integration of Convolutional Autoencoder Network and Random Forest." Natural Resources Research (New York, N.Y.) 31, no. 3 (2022): 1103-1119. https://doi.org/10.1007/s11053-022-10038-7.
MLA (9th ed.) CitationYang, Na, et al. "Mineral Prospectivity Prediction by Integration of Convolutional Autoencoder Network and Random Forest." Natural Resources Research (New York, N.Y.), vol. 31, no. 3, 2022, pp. 1103-1119, https://doi.org/10.1007/s11053-022-10038-7.