A multi-fidelity surrogate model based on moving least squares: fusing different fidelity data for engineering design.

MLA

Wang, Shuo, et al. “A Multi-Fidelity Surrogate Model Based on Moving Least Squares: Fusing Different Fidelity Data for Engineering Design.” Structural & Multidisciplinary Optimization, vol. 64, no. 6, Dec. 2021, pp. 3637–52. EBSCOhost, https://doi.org/10.1007/s00158-021-03044-5.

APA

Wang, S., Liu, Y., Zhou, Q., Yuan, Y., Lv, L., & Song, X. (2021). A multi-fidelity surrogate model based on moving least squares: fusing different fidelity data for engineering design. Structural & Multidisciplinary Optimization, 64(6), 3637–3652. https://doi.org/10.1007/s00158-021-03044-5

Chicago

Wang, Shuo, Yin Liu, Qi Zhou, Yongliang Yuan, Liye Lv, and Xueguan Song. 2021. “A Multi-Fidelity Surrogate Model Based on Moving Least Squares: Fusing Different Fidelity Data for Engineering Design.” Structural & Multidisciplinary Optimization 64 (6): 3637–52. doi:10.1007/s00158-021-03044-5.