个人简介
易称福，男，中共党员，通信与信息系统专业，研究生学历，中科院博士后，博士学位，副教授，硕士生导师，香港理工大学访问学者，深圳市科创委项目评审专家。
主要研究领域
人工智能，神经网络，智能信息处理
学术兼职(或社会兼职)
深圳市高层次人才“后备级人才”
深圳市南山区“领航人才
主要成果（代表性论文、著作、科研项目、专利等）
[1] Cai, J.; Dai, W.; Chen, J.; Chenfu Yi*. Zeroing Neural Networks Combined with Gradient for Solving Time-Varying Linear Matrix Equations in Finite Time with Noise Resistance. Mathematics 2022, 10, 4828. (SCI: , IF=, JCR=Q1, 中科院2区)
[2] Caijun, Chenfu Yi*, An adaptive gradient-descent-based neural networks for the on-line solution of linear time variant equations and its applications, Information Sciences 622 (2023) 34–45. (SCI: , IF=8.2333, JCR=Q1，Top, 中科院1区)
[3] Chen Yuhuan, Chen Jingjing, Chenfu Yi*, Time-varying learning rate for recurrent neural networks to solve linear equations. Mathematical Methods in the Applied Sciences, 2022;1-8. doi:10.1002/mma.8835 (SCI: , IF=3.007, JCR=Q1，中科院2区)
[4] Chen Y, Ren J, Chenfu Yi*. Neural networks for the output tracking-control problem of nonlinear strict-feedback system[J]. IEEE Access, 2017, 5: 26257-26266. (SCI: , IF=6.7, JCR=Q1，中科院3区)
[5] Chenfu Yi, Lili Wang, and Ye Li*, Energy Efficient Transmission Approach for WBAN Based on Threshold Distance, IEEE Sensors Journal, 2015, Vol. 15, No.9, 5133-5141. (SCI: , IF=6.1, JCR=Q1，中科院2区)
联系方式（邮箱）Yichenfu@163.com
