Wenjing Li

发表

Prediction of PM2.5 concentration based on recurrent fuzzy neural network

Junfei Qiao, Wenjing Li, Shanshan Zhou, 2017, 2017 36th Chinese Control Conference (CCC).

A self-organizing deep belief network for nonlinear system modeling

Junfei Qiao, Wenjing Li, Xiaoli Li, 2018, Appl. Soft Comput..

A modified hopfield neural network for solving TSP problem

Junfei Qiao, Wenjing Li, J. Qiao, 2016, 2016 12th World Congress on Intelligent Control and Automation (WCICA).

DC algorithms for a class of sparse group $\ell_0$ regularized optimization problems

K. Toh, Wei Bian, Wenjing Li, 2021, 2109.05251.

A PLS-based pruning algorithm for simplified long-short term memory neural network in time series prediction

Xiaoxiao Wang, J. Qiao, Hong-gui Han, 2022, Knowl. Based Syst..

A weight initialization method for fuzzy neural network based on rule partition

J. Qiao, Wenjing Li, Xue-fei Wang, 2021, 2021 33rd Chinese Control and Decision Conference (CCDC).

Design of a modular neural network based on an improved soft subspace clustering algorithm

Meng Li, Wenjing Li, J.-F. Qiao, 2022, Expert Syst. Appl..

An online self-organizing algorithm for feedforward neural network

Wenjing Li, Jun-fei Qiao, Xin Guo, 2020, Neural Computing and Applications.

Design of a hierarchy modular neural network and its application in multimodal emotion recognition

J. Qiao, Wenjing Li, Minghui Chu, 2019, Soft Computing.

A pruning feedforward small-world neural network based on Katz centrality for nonlinear system modeling

Junfei Qiao, Wenjing Li, Minghui Chu, 2020, Neural Networks.

Mutual information based weight initialization method for sigmoidal feedforward neural networks

Junfei Qiao, Wenjing Li, Sanyi Li, 2016, Neurocomputing.

Neural Network Ensembles: Theory, Training, and the Importance of Explicit Diversity pdf

Randy C. Paffenroth, David Berthiaume, Wenjing Li, 2021, ArXiv.

Projection neural network for a class of sparse regression problems with cardinality penalty pdf

Wenjing Li, Wei Bian, Wei Bian, 2020, Neurocomputing.

Projected Neural Network for a Class of Sparse Regression with Cardinality Penalty

Wei Bian, Wenjing Li, 2020, ArXiv.

Design of a self-organizing reciprocal modular neural network for nonlinear system modeling

Meng Li, Junfei Qiao, Wenjing Li, 2020, Neurocomputing.

A feature clustering-based adaptive modular neural network for nonlinear system modeling.

Meng Li, Xin Guo, Junfei Qiao, 2019, ISA transactions.

A deep belief network with PLSR for nonlinear system modeling

Junfei Qiao, Wenjing Li, Xiaoli Li, 2017, Neural Networks.

A novel modular RBF neural network based on a brain-like partition method

Wen-Jing Li, Bogdan M. Wilamowski, Xi Meng, 2018, Neural Computing and Applications.

Constructive algorithm for fully connected cascade feedforward neural networks

Junfei Qiao, Honggui Han, Wenjing Li, 2016, Neurocomputing.

A self-organizing recurrent fuzzy neural network based on multivariate time series analysis

Junfei Qiao, Wenjing Li, Ding Haixu, 2020, Neural Computing and Applications.

An adaptive hybrid evolutionary immune multi-objective algorithm based on uniform distribution selection

Fei Li, Ke Gu, Junfei Qiao, 2020, Inf. Sci..

An online self-organizing modular neural network for nonlinear system modeling

Xin Guo, Junfei Qiao, Wenjing Li, 2020, Appl. Soft Comput..

TL-GDBN: Growing Deep Belief Network With Transfer Learning

MengChu Zhou, Jing Bi, GongMing Wang, 2019, IEEE Transactions on Automation Science and Engineering.

Design of Dynamic Modular Neural Network Based on Adaptive Particle Swarm Optimization Algorithm

Chao Lu, Wen-Jing Li, Jun-Fei Qiao, 2018, IEEE Access.

Design of a hierarchy modular neural network and its application in multimodal emotion recognition

Junfei Qiao, Wenjing Li, Minghui Chu, 2019, Soft Comput..

Soft Measurement Modeling Based on Chaos Theory for Biochemical Oxygen Demand (BOD)

Zhiqiang Hu, Junfei Qiao, Wenjing Li, 2016 .

Prediction of PM2.5 based on Elman neural network with chaos theory

Junfei Qiao, Wenjing Li, J. Qiao, 2016, CCC 2016.

An online adjusting RBF neural network for nonlinear system modeling

Wenjing Li, Lijie Jia, Junfei Qiao, 2022, Applied Intelligence.

An adaptive deep Q-learning strategy for handwritten digit recognition

Min Chen, Junfei Qiao, Wenjing Li, 2018, Neural Networks.

An incremental neuronal-activity-based RBF neural network for nonlinear system modeling

Junfei Qiao, Wenjing Li, Xi Meng, 2018, Neurocomputing.

A self-organizing modular neural network based on empirical mode decomposition with sliding window for time series prediction

Wenjing Li, Jun-fei Qiao, Xin Guo, 2023, Applied Soft Computing.

Smoothing neural network for L0 regularized optimization problem with general convex constraints

Wei Bian, Wenjing Li, Wei Bian, 2021, Neural Networks.

Projected Neural Network for a Class of Non-Lipschitz Optimization Problems With Linear Constraints

Wenjing Li, Wei Bian, Xiaoping Xue, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Growing Echo-State Network With Multiple Subreservoirs

Junfei Qiao, Honggui Han, Wenjing Li, 2017, IEEE Transactions on Neural Networks and Learning Systems.

A self-organizing RBF neural network based on distance concentration immune algorithm

Ke Gu, Junfei Qiao, Wenjing Li, 2020, IEEE/CAA Journal of Automatica Sinica.

Projection neural network for a class of sparse regression problems with cardinality penalty

Wei Bian, Wenjing Li, Wei Bian, 2020, Neurocomputing.

Optimal Ensembles for Deep Learning Classification: Theory and Practice

Randy Paffenroth, Wenjing Li, R. Paffenroth, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

A pruning feedforward small-world neural network by dynamic sparse regularization with smoothing l1/2 norm for nonlinear system modeling

Wenjing Li, Minghui Chu, 2023, Appl. Soft Comput..