APA (7th ed.) Citation

Ji, Y., Liu, S., Zhou, M., Zhao, Z., Guo, X., & Qi, L. (2022). A machine learning and genetic algorithm-based method for predicting width deviation of hot-rolled strip in steel production systems. Information sciences, 589, 360-375. https://doi.org/10.1016/j.ins.2021.12.063

Chicago Style (17th ed.) Citation

Ji, Yingjun, Shixin Liu, Mengchu Zhou, Ziyan Zhao, Xiwang Guo, and Liang Qi. "A Machine Learning and Genetic Algorithm-based Method for Predicting Width Deviation of Hot-rolled Strip in Steel Production Systems." Information Sciences 589 (2022): 360-375. https://doi.org/10.1016/j.ins.2021.12.063.

MLA (9th ed.) Citation

Ji, Yingjun, et al. "A Machine Learning and Genetic Algorithm-based Method for Predicting Width Deviation of Hot-rolled Strip in Steel Production Systems." Information Sciences, vol. 589, 2022, pp. 360-375, https://doi.org/10.1016/j.ins.2021.12.063.