三、科研项目
[1]数智融合的污水处理过程多源故障诊断与溯源方法研究,国家自然科学基金面上项目, 2026.01-2029.12,主持
[2]城市污水处理过程出水BOD多工况智能预警研究,国家自然科学基金面上项目, 2022.01-2025.12,主持
[3]基于类脑计算的污水处理过程BOD软测量模型研究,国家自然科学基金青年基金,2017.01-2019.12,主持
[4]污水处理出水BOD多观测条件智能检测及关联预警方法研究,北京市自然科学基金面上项目, 2018.01-2020.12,主持
[5]污水处理过程关键出水水质多源智能检测方法研究,北京市教委科技一般项目, 2019.01-2021.12,主持
四、代表性研究成果
[1]Wenjing Li*, Zhigang Li, Junfei Qiao. A fast feedforwardssmall-world neural network for nonlinear system modeling.IEEE Transactions on Neural Networks and Learning Systems. 36(4): 6041-6053, 2025.
[2]WenjingLi*,Can Chen, Junfei Qiao. A hub-based self-organizing algorithm for feedforward small-world neural network.IEEE Transactions on Emerging Topics in Computational Intelligence. 9(1): 160-175, 2025.
[3]Wenjing Li*, Chong Ding, Junfei Qiao. Robust neural network modeling with small-worldness for effluent total phosphorus prediction in wastewater treatment process.IEEE Transactions on Reliability. 74(1): 2475-2486, 2025.
[4]Wenjing Li*, Yonglei Liu, Zhiqian Chen. Design of a bi-level PSO based modular neural network for multi-step time series prediction.Applied Intelligence.54:8612-8633, 2024.
[5]Wenjing Li*, Minghui Chu. A pruning feedforward small-world neural network by dynamic sparse regularization with smoothing l1/2 norm for nonlinear system modeling.Applied Soft Computing, 136: 110133, 2023.
[6]Wenjing Li*, Xiaoxiao Wang, Honggui Han, Junfei Qiao. A PLS-based pruning algorithm for simplified long-short term memory neural network in time series prediction.Knowledge Based Systems, 254: 109608, 2022.
[7]李文静*,李治港,乔俊飞.基于突触巩固机制的前馈小世界神经网络设计.自动化学报. 49(10): 2145-2158, 2023.
[8]李文静,顾洪升,乔俊飞.一种基于时序异常因子算法的出水BOD浓度异常数据检测方法.No. 202310608736.6,申请日:2025年9月26日,国家发明专利.
[9]李文静,陈璨,乔俊飞.一种基于自组织前馈小世界神经网络的出水BOD软测量方法.No. 202211106553.6,申请日:2025年6月27日,国家发明专利.
[10]李文静,褚明慧,乔俊飞.一种基于删减型前馈小世界神经网络出水BOD预测方法.No. 201911211235.4,授权日:2024年4月5日,国家发明专利.