Cite
A Novel Stacked Generalization Ensemble-Based Hybrid PSVM-PMLP-MLR Model for Energy Consumption Prediction of Copper Foil Electrolytic Preparation
MLA
Zhiming Liao, et al. “A Novel Stacked Generalization Ensemble-Based Hybrid PSVM-PMLP-MLR Model for Energy Consumption Prediction of Copper Foil Electrolytic Preparation.” IEEE Access, vol. 9, Jan. 2021, pp. 5821–31. EBSCOhost, https://doi.org/10.1109/ACCESS.2020.3048714.
APA
Zhiming Liao, Mei Su, Guangfu Ning, Yonglu Liu, Tong Wang, & Jie Zhou. (2021). A Novel Stacked Generalization Ensemble-Based Hybrid PSVM-PMLP-MLR Model for Energy Consumption Prediction of Copper Foil Electrolytic Preparation. IEEE Access, 9, 5821–5831. https://doi.org/10.1109/ACCESS.2020.3048714
Chicago
Zhiming Liao, Mei Su, Guangfu Ning, Yonglu Liu, Tong Wang, and Jie Zhou. 2021. “A Novel Stacked Generalization Ensemble-Based Hybrid PSVM-PMLP-MLR Model for Energy Consumption Prediction of Copper Foil Electrolytic Preparation.” IEEE Access 9 (January): 5821–31. doi:10.1109/ACCESS.2020.3048714.