一、基本情况
姓名:贺云
性别:男
出生年月:1989年9月
最后学历(学位):工学博士
职称:讲师
二、教育经历
2008/09—2012/07,中北大学,工程力学专业,本科
2012/09—2017/12,内蒙古工业大学,力学专业,博士
三、工作经历
2018/01—至今,bat365在线平台,bat365官网登录土木工程系,教师
四、研究方向
1、神经网络计算
2、粘弹性材料力学性能的研究
五、发表论文
[1] Yun HE and Haibin LI. A novel numerical method for heat equation[J].Thermal Science, 2016, 20(3):1018-1021.(SCI收录)
[2] Haibin Li, Yun He and Xiaobo Nie. Structural reliability calculation method based on the dual neural network and direct integration method[J]. Neural Computing and Applications, 2018, 29(7): 425-433. (SCI收录)
[3] Yubin Gao, Haibin Li, Guangmei Wei and Yun He. Viscoelastic analysis of a sleeve based on the BP neural network[J]. Journal of Mechanical Science and Technology, 2015, 29(11): 4621-4629. (SCI收录)
[4] Juan Du, Haibin Li, Yun He. The Method of Solving Structural Reliability with Multiparameter Correlation Problem [J].Mathematical Problems in Engineering, 2017, 6976301. (SCI收录)
[5] Xiaobo Nie, Haibin Li, Yun He, Yangtian Li. Direct integral method for structural reliability analysis based on support vector regression machine[J]. Nonlinear Science Letters A, 2016, 7(4):126-134.
[6]Yun He, Haibin Li, Juan Du. Fitting Methods Based on Custom Neural Network for Relaxation Modulus of Viscoelastic Materials [A], APARM2018 & QR2MSE2018 [C], 2018.
[7]Yun He,Haibin Li, , Guangmei Wei, Juan Du. Computation of Finite Element Stiffness Matrix Based on Dual Neural Network Method [A], APARM2018 & QR2MSE2018 [C], 2018.
[8]Yun He, Haibin Li, ,Juan Du. Fitting Complex Modulus of Viscoelastic Material Based on Complex Neural Network Method [A], APARM2018 & QR2MSE2018 [C], 2018.
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