Cite
HARVARD Citation
Shi, M. et al. (2023). A multi-fidelity surrogate model based on extreme support vector regression: fusing different fidelity data for engineering design. Engineering computations. 40 (2), pp. 473-493. [Online].
This is an interim version of our Electronic Legal Deposit Catalogue-eJournals and eBooks while we continue to recover from a cyber-attack.
Shi, M. et al. (2023). A multi-fidelity surrogate model based on extreme support vector regression: fusing different fidelity data for engineering design. Engineering computations. 40 (2), pp. 473-493. [Online].