APA (7th ed.) Citation

Meng, S., Shi, Z., Li, G., Peng, M., Liu, L., Zheng, H., & Zhou, C. (2024). A novel deep learning framework for landslide susceptibility assessment using improved deep belief networks with the intelligent optimization algorithm. Computers and geotechnics, 167, 106106. https://doi.org/10.1016/j.compgeo.2024.106106

Chicago Style (17th ed.) Citation

Meng, Shaoqiang, Zhenming Shi, Gang Li, Ming Peng, Liu Liu, Hongchao Zheng, and Changshi Zhou. "A Novel Deep Learning Framework for Landslide Susceptibility Assessment Using Improved Deep Belief Networks with the Intelligent Optimization Algorithm." Computers and Geotechnics 167 (2024): 106106. https://doi.org/10.1016/j.compgeo.2024.106106.

MLA (9th ed.) Citation

Meng, Shaoqiang, et al. "A Novel Deep Learning Framework for Landslide Susceptibility Assessment Using Improved Deep Belief Networks with the Intelligent Optimization Algorithm." Computers and Geotechnics, vol. 167, 2024, p. 106106, https://doi.org/10.1016/j.compgeo.2024.106106.