Comparative analysis of hybrid models of firefly optimization algorithm with support vector machines and multilayer perceptron for predicting soil temperature at different depths.

MLA

Shamshirband, Shahaboddin, et al. “Comparative Analysis of Hybrid Models of Firefly Optimization Algorithm with Support Vector Machines and Multilayer Perceptron for Predicting Soil Temperature at Different Depths.” Engineering Applications of Computational Fluid Mechanics, vol. 14, no. 1, Jan. 2020, pp. 939–53. EBSCOhost, https://doi.org/10.1080/19942060.2020.1788644.

APA

Shamshirband, S., Esmaeilbeiki, F., Zarehaghi, D., Neyshabouri, M., Samadianfard, S., Ghorbani, M. A., Mosavi, A., Nabipour, N., & Chau, K.-W. (2020). Comparative analysis of hybrid models of firefly optimization algorithm with support vector machines and multilayer perceptron for predicting soil temperature at different depths. Engineering Applications of Computational Fluid Mechanics, 14(1), 939–953. https://doi.org/10.1080/19942060.2020.1788644

Chicago

Shamshirband, Shahaboddin, Fatemeh Esmaeilbeiki, Davoud Zarehaghi, Mohammadreza Neyshabouri, Saeed Samadianfard, Mohammad Ali Ghorbani, Amir Mosavi, Narjes Nabipour, and Kwok-Wing Chau. 2020. “Comparative Analysis of Hybrid Models of Firefly Optimization Algorithm with Support Vector Machines and Multilayer Perceptron for Predicting Soil Temperature at Different Depths.” Engineering Applications of Computational Fluid Mechanics 14 (1): 939–53. doi:10.1080/19942060.2020.1788644.