APA (7th ed.) Citation

Shi, B., Chen, X., Yue, Z., Zeng, F., Yin, S., Wang, B., & Wang, J. (2022). Feature optimization based on improved novel global harmony search algorithm for motor imagery electroencephalogram classification. Frontiers in Computational Neuroscience, 16, . https://doi.org/10.3389/fncom.2022.1004301

Chicago Style (17th ed.) Citation

Shi, Bin, Xiaokai Chen, Zan Yue, Feixiang Zeng, Shuai Yin, Benguo Wang, and Jing Wang. "Feature Optimization Based on Improved Novel Global Harmony Search Algorithm for Motor Imagery Electroencephalogram Classification." Frontiers in Computational Neuroscience 16 (2022). https://doi.org/10.3389/fncom.2022.1004301.

MLA (9th ed.) Citation

Shi, Bin, et al. "Feature Optimization Based on Improved Novel Global Harmony Search Algorithm for Motor Imagery Electroencephalogram Classification." Frontiers in Computational Neuroscience, vol. 16, 2022, https://doi.org/10.3389/fncom.2022.1004301.