EEG Feature Learning Model Based on Intrinsic Time-Scale Decomposition and Adaptive Huber Loss
1. School of Mathematics and Statistics, Henan Engineering Research Center for Artificial Intelligence
Theory and Algorithms, Henan University, Kaifeng 475004, China; 2. Center for Applied Mathematics
of Henan Province, Henan University, Zhengzhou 450046, China
Contact:
YANG Li-jun (1979-), female, native of Ruzhou, Henan, associate professor of Henan Univer-
sity, engages in intelligent information processing
E-mail: yangli- jun@henu.edu.cn
About author:YANG Li-jun (1979-), female, native of Ruzhou, Henan, associate professor of Henan Univer-
sity, engages in intelligent information processing; XIAO Yun-hai (1978-), male, native of Puyang, Henan,
professor of Henan University, engages in numerical optimization.
Supported by:
Supported by National Natural Science Foundation of China (Grant Nos. 11701144,
11971149); Henan Province Key and Promotion Special (Science and Technology) Project (Grant No.
212102310305).
YANG Li-jun, JIANG Shu-yue, WEI Xiao-ge , XIAO Yun-hai. EEG Feature Learning Model Based on Intrinsic Time-Scale Decomposition and Adaptive Huber Loss[J]. Chinese Quarterly Journal of Mathematics, 2022, 37(3): 281-300.