Cite
Comfort Study of General Aviation Pilot Seats Based on Improved Particle Swam Algorithm (IPSO) and Support Vector Machine Regression (SVR).
MLA
Zhang, Mengyang, et al. “Comfort Study of General Aviation Pilot Seats Based on Improved Particle Swam Algorithm (IPSO) and Support Vector Machine Regression (SVR).” Applied Sciences (2076-3417), vol. 13, no. 15, Aug. 2023, p. 9038. EBSCOhost, https://doi.org/10.3390/app13159038.
APA
Zhang, M., Zhang, X., Gao, S., & Zhu, Y. (2023). Comfort Study of General Aviation Pilot Seats Based on Improved Particle Swam Algorithm (IPSO) and Support Vector Machine Regression (SVR). Applied Sciences (2076-3417), 13(15), 9038. https://doi.org/10.3390/app13159038
Chicago
Zhang, Mengyang, Xuyinglong Zhang, Shan Gao, and Yujie Zhu. 2023. “Comfort Study of General Aviation Pilot Seats Based on Improved Particle Swam Algorithm (IPSO) and Support Vector Machine Regression (SVR).” Applied Sciences (2076-3417) 13 (15): 9038. doi:10.3390/app13159038.