APA (7th ed.) Citation

Li, C., Wen, C., & Zhou, Z. (2024). An industrial process fault diagnosis method based on independent slow feature analysis and stacked sparse autoencoder network. Journal of the Franklin Institute, 361, 234-247. https://doi.org/10.1016/j.jfranklin.2023.10.004

Chicago Style (17th ed.) Citation

Li, Chang, Chenglin Wen, and Zhe Zhou. "An Industrial Process Fault Diagnosis Method Based on Independent Slow Feature Analysis and Stacked Sparse Autoencoder Network." Journal of the Franklin Institute 361 (2024): 234-247. https://doi.org/10.1016/j.jfranklin.2023.10.004.

MLA (9th ed.) Citation

Li, Chang, et al. "An Industrial Process Fault Diagnosis Method Based on Independent Slow Feature Analysis and Stacked Sparse Autoencoder Network." Journal of the Franklin Institute, vol. 361, 2024, pp. 234-247, https://doi.org/10.1016/j.jfranklin.2023.10.004.