基本信息：

刘凤秋，女，博士，教授。E-mail：liufengqiu@nbut.edu.cn

研究方向：

机器学习，布尔网络，优化。  

科研经历：

主持的科研项目：

1、国家自然科学基金青年基金项目、基于不确定先验知识的支持向量机理论与算法研究2013-2015。

2、黑龙江省自然科学基金、基于模糊等价关系的核函数理论与算法研究2013-2015。

3、横向课题、基于支持向量机的智能土地估价系统开发、2013-2014。

4、黑龙江省教育厅基金、基于模糊信息系统的核函数的设计与应用、2011-2013。

5、哈尔滨理工大学青年基金：基于模糊推理的核方法及其应用、2008-2009。

发表的学术论文：

1. Cui, Yuxin, Shu Li, Yunxiao Shan, and Fengqiu Liu. 2022. Finite-Time Set Reachability of Probabilistic Boolean Multiplex Control Networks[J]. Applied Sciences 12, no. 2: 883. https://doi.org/10.3390/app12020883

2. Wang Jianmin, Liu Fengqiu,  Oin Sitian. Exponential stabilization of memristor-based recurrent neural networks with disturbance and mixed time delays via periodically intermittent control[J]. International Journal of Control, Automation and Systems, 2021, 19: 1-13.

3. Liu Fengqiu, Cui Yuxin, Wang Jianmin, Ji Donghai.  Observability of probabilistic Boolean multiplex networks[J]. Asian Journal of Control. 2020,10:1–8.

4. Jianmin Wang, Liu Fengqiu, Sitian Oin. Global exponential stability of uncertain memristor-based recurrent neural networks with mixed time delays[J]. International Journal of Machine Learning and Cybernetics, 2019, 10: 743–755.

5. Liu Fengqiu and Xue Xiaoping. Subgradient-Based Neural Network for Nonconvex Optimization Problems in Support Vector Machines with Indefinite Kernels[J]. Journal of Industrial and Management Optimization, 2016, 12(1): 285-301.

6. Liu Fengqiu and Xue Xiaoping. Designing Kernels by Fuzzy Rules for Support Vector Regressions[J]. International Journal of Innovative Computing, Information & Control. 2012, 8(5).

7. Liu Fengqiu and Xue Xiaoping, Design of Natural Classification Kernels Using Prior Knowledge[J]. IEEE Transactions on Fuzzy Systems, 2012, 20, 135-152.

8. Liu Fengqiu, Li Lili. Identification of a Boolean multiplex network via data containing all possible states[C]. The 16th IEEE International Conference on Control and Automation, October 9, 2020: 824-829.

9. Liu Fengqiu, Qiu Min, and Qin Sitian. Intermittent Control of Memristor-Based Recurrent Neural Networks with Time-Varying Delays[C]. International Conference on Information. 2017: 479-483.

10. Liu Fengqiu and Zhang Hongxu, A Projection Neural Network for Training Support Vector Machines[C]. 31st Youth Academic Annual Conference of Chinese Association of Automation, 2016: 298-302.

11. Fengqiu Liu, Jianmin Wang, Sitian Qin. Training Least-Square SVM by a Recurrent Neural Network Based on Fuzzy c-mean Approach[C]. Advances in Swarm Intelligence, Lecture Notes in Computer Science, 2013, 7929: 106-113.

12. Xue Xiaoping and Liu Fengqiu. Learning Fuzzy Equivalence Relation Kernels with Prior knowledge. 8^th Conference on Machine Learning and Cybernetics, Baoding, 2009: 237-242.

13. Liu Fengqiu, Xue Xiaoping, Wang Jianmin. The Fuzzy Rule-number Estimation of T-S Fuzzy Models as Universal Approximators[C]. The 10th International Conference on Fuzzy Systems and Knowledge Discovery, Shandong, 2008, 1: 462-469.

14. Liu Fengqiu, Wang Jianmin, Yu Peng. A New Approach to Parameters Identification of Fuzzy Regression Models[C].  The 10th International Conference on Fuzzy Systems and Knowledge Discovery, Shandong, 2008, 1: 127-131.

15. Cui Pingyuan, Sun Junwei, and Liu Fengqiu. Fuzzy Output Tracking Control and Its Application to Guidance Control for Lunar Gravity-Turn[C]. In Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics (ICMLC'05), Guangzhou, 2006: 81-90.

教学经历：

主讲课程：本科生课程高等数学，线性代数，概率论与数理统计，数学实验数学建模、机器学习、微分方程等；研究生课程：优化方法及其工程中的应用、矩阵分析，模糊分析学，凸优化理论等。

育人经历：

指导美国大学生数学建模竞赛一等奖5项；全国大学生数学建模竞赛国家二等奖5项；全国研究生数学建模竞赛二等奖6项，指导国家级创新实验项目3项；指导研究生6名。