Intelligent identification of soil and operation parameters in mechanised tunnelling by a hybrid model of artificial neural network-genetic algorithm (case study: Tabriz Metro Line 2).

MLA

Nikakhtar, Leila, et al. “Intelligent Identification of Soil and Operation Parameters in Mechanised Tunnelling by a Hybrid Model of Artificial Neural Network-Genetic Algorithm (Case Study: Tabriz Metro Line 2).” Civil Engineering & Environmental Systems, vol. 39, no. 4, Dec. 2022, pp. 287–308. EBSCOhost, https://doi.org/10.1080/10286608.2022.2075857.

APA

Nikakhtar, L., Zare, S., & Mirzaei Nasirabad, H. (2022). Intelligent identification of soil and operation parameters in mechanised tunnelling by a hybrid model of artificial neural network-genetic algorithm (case study: Tabriz Metro Line 2). Civil Engineering & Environmental Systems, 39(4), 287–308. https://doi.org/10.1080/10286608.2022.2075857

Chicago

Nikakhtar, Leila, Shokrollah Zare, and Hossein Mirzaei Nasirabad. 2022. “Intelligent Identification of Soil and Operation Parameters in Mechanised Tunnelling by a Hybrid Model of Artificial Neural Network-Genetic Algorithm (Case Study: Tabriz Metro Line 2).” Civil Engineering & Environmental Systems 39 (4): 287–308. doi:10.1080/10286608.2022.2075857.