师资队伍

李文静

电话:

E-mail:wenjing.li@bjut.edu.cn

通讯地址:理科楼917

[1]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.

[2]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, 2022, 254: 109608. (SCI)

[3]Wenjing Li*, Minghui Chu, Junfei Qiao. A pruning feedforward small-world neural network based on Katz centrality for nonlinear system modeling.Neural Networks, 2020, 130: 269-285. (SCI)

[4]Wenjing Li*, Meng Li, Junkai Zhang, Junfei Qiao. Design of a self-organizing reciprocal modular neural network for nonlinear system modeling.Neurocomputing, 2020, 411: 327-339. (SCI)

[5]Wenjing Li*, Meng Li, Junfei Qiao, Xin Guo. A feature clustering-based adaptive modular neural network for nonlinear system modeling.ISA Transactions, 2020, 100: 185-197 (SCI).

[6]Wenjing Li*, Junkai Zhang. Prediction of BOD concentration in wastewater treatment process using a modular neural network in combination with the weather condition.Applied Sciences, 2020, 10(21): 7477 (SCI).

[7]Wenjing Li*, Minghui Chu, Junfei Qiao. Design of a hierarchy modular neural network and its application in multi-modal emotion recognition.Soft Computing, 2019, 23(22): 11817-11828 (SCI).

[8]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.

[9]李文静,张竣凯.一种基于模块化神经网络的出水BOD传感器异常检测方法.国家发明专利,ZL 202110185682.8,授权日: 2024年2月1日.

[10]李文静,褚明慧,乔俊飞.一种基于PSO的递归RBF神经网络出水BOD预测方法,国家发明专利ZL. 201811501279.6,授权日:2023年10月13日.

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