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合肥学院人工智能与大数据学院导师教师师资介绍简介-霍妮娜.pdf
/2021-05-02
霍妮娜
职 称:讲师
职 务:无
工作单位:人工智能与大数据学院
E-MAIL:huonn@hfuu.edu.cn
一、基本情况
霍妮娜,女,博士,硕士生导师。
二、主要研究方向
主要从事分数阶微分方程及其应用、神经网络概周期解等研究。
三、主要科研成果
参与地区科学基金项目:四元数值泛函微分方程的若干定性研究,11861072,在研。主持云南大学第十届研究生科研创新项目:四元数值神经网络的反周期解及其稳定性研
究,批准号:2018163,起止时间:2018.10-2019.10
发表学术论文 6 篇,其中 SCI 6 篇:
(1) Yongkun Li, Nina Huo*, (μ,ν)-pseudo almost periodic solutions of Clifford-valued high-order
HNNs with multiple discrete delays, Neurocomputing, 414 (2020) 1-9 .
(2) Yongkun Li*, Nina Huo, Bing Li, On μ-pseudo almost periodic solution for
Clifford-valued neutral type neural networks with leakage delays, IEEE Transactions on Neural
Networks and Learning Systems (2020) 1-10 ( Top 期刊).
(3) Nina Huo, Yongkun Li*, Anti-periodic solutions for generalized inertial shunting inhibitory
cellular neural networks with distributed delays, Applied and Computational Mathematics 18(1)
(2019) 95-107.
(4) Nina Huo, Yongkun Li*, Anti-periodic solutions for quaternion-valued shunting inhibitory
cellular neural networks with distributed delays and impulses, Complexity 2018 (2018) 1-12.
(5) Nina Huo, Bing Li, Yongkun Li*, Existence and exponential stability of anti-periodic solutions
for inertial quaternion-valued high-order Hopfield neural networks with state-dependent
delays, IEEE Access 7 (2019) 60010-60019.
(6) Nina Huo, Bing Li, Yongkun Li*, Anti-periodic solutions for Clifford-valued high-order Hopfield
neural networks with state-dependent delays and leakage delays, International Journal of Applied
Mathematics and Computer Science 30(1) (2020) 83-98.
四、主要教学成果
先后承担《实变函数》、《概率论与数理统计》课程主讲工作。