Cite
Filter-wrapper combined feature selection and adaboost-weighted broad learning system for transformer fault diagnosis under imbalanced samples.
MLA
Zhao, Beijia, et al. “Filter-Wrapper Combined Feature Selection and Adaboost-Weighted Broad Learning System for Transformer Fault Diagnosis under Imbalanced Samples.” Neurocomputing, vol. 560, Dec. 2023, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.neucom.2023.126803.
APA
Zhao, B., Yang, D., Karimi, H. R., Zhou, B., Feng, S., & Li, G. (2023). Filter-wrapper combined feature selection and adaboost-weighted broad learning system for transformer fault diagnosis under imbalanced samples. Neurocomputing, 560, N.PAG. https://doi.org/10.1016/j.neucom.2023.126803
Chicago
Zhao, Beijia, Dongsheng Yang, Hamid Reza Karimi, Bowen Zhou, Shuai Feng, and Guangdi Li. 2023. “Filter-Wrapper Combined Feature Selection and Adaboost-Weighted Broad Learning System for Transformer Fault Diagnosis under Imbalanced Samples.” Neurocomputing 560 (December): N.PAG. doi:10.1016/j.neucom.2023.126803.