Cite
Configuration of the Deep Neural Network Hyperparameters for the Hypsometric Modeling of the Guazuma crinita Mart. in the Peruvian Amazon.
MLA
Casas, Gianmarco Goycochea, et al. “Configuration of the Deep Neural Network Hyperparameters for the Hypsometric Modeling of the Guazuma Crinita Mart. in the Peruvian Amazon.” Forests (19994907), vol. 13, no. 5, May 2022, p. N.PAG. EBSCOhost, https://doi.org/10.3390/f13050697.
APA
Casas, G. G., Gonzáles, D. G. E., Villanueva, J. R. B., Fardin, L. P., & Leite, H. G. (2022). Configuration of the Deep Neural Network Hyperparameters for the Hypsometric Modeling of the Guazuma crinita Mart. in the Peruvian Amazon. Forests (19994907), 13(5), N.PAG. https://doi.org/10.3390/f13050697
Chicago
Casas, Gianmarco Goycochea, Duberlí Geomar Elera Gonzáles, Juan Rodrigo Baselly Villanueva, Leonardo Pereira Fardin, and Hélio Garcia Leite. 2022. “Configuration of the Deep Neural Network Hyperparameters for the Hypsometric Modeling of the Guazuma Crinita Mart. in the Peruvian Amazon.” Forests (19994907) 13 (5): N.PAG. doi:10.3390/f13050697.