Yan, A., Guo, J., & Wang, D. (2022). Robust stochastic configuration networks for industrial data modelling with Student’s-t mixture distribution. Information sciences, 607, 493-505. https://doi.org/10.1016/j.ins.2022.05.105
Chicago Style (17th ed.) CitationYan, Aijun, Jingcheng Guo, and Dianhui Wang. "Robust Stochastic Configuration Networks for Industrial Data Modelling with Student’s-t Mixture Distribution." Information Sciences 607 (2022): 493-505. https://doi.org/10.1016/j.ins.2022.05.105.
MLA (9th ed.) CitationYan, Aijun, et al. "Robust Stochastic Configuration Networks for Industrial Data Modelling with Student’s-t Mixture Distribution." Information Sciences, vol. 607, 2022, pp. 493-505, https://doi.org/10.1016/j.ins.2022.05.105.
Warning: These citations may not always be 100% accurate.