Fanjun Li

According to our database, Fanjun Li authored at least 16 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Hybrid Data-Driven Model for Predicting NOx Concentration in a Cement Clinker Calcination System.

Shanshan Xue, Fanjun Li, Shaoqi Cheng, Jiayue Feng, Xinyu Shen

IEEE Trans. Instrum. Meas., 2025

NOx Concentration Prediction for Cement Rotary Kiln Under Multiworking Conditions Based on an Echo State Network With Modular Output.

Jiayue Feng, Fanjun Li, Xinyu Shen, Shanshan Xue, Shaoqi Cheng

IEEE Trans. Instrum. Meas., 2025

Echo state network with a non-convex penalty for nonlinear time series prediction.

Wenting Wang, Fanjun Li, Qianwen Liu

Neurocomputing, 2025

2024

NOx Concentration Prediction With a Flexible Cascaded Echo-State Network in a Cement Clinker Calcination System.

Xingshang Li, Fanjun Li, Shoujing Zheng, Qianwen Liu

IEEE Trans. Ind. Informatics, 2024

Memory augmented echo state network for time series prediction.

Qianwen Liu, Fanjun Li, Wenting Wang

Neural Comput. Appl., 2024

Multi-module echo state network with variable skip length for chaotic time series prediction.

Qianwen Liu, Fanjun Li, Shoujing Zheng, Xingshang Li

Appl. Soft Comput., 2024

2023

Robust echo state network with Cauchy loss function and hybrid regularization for noisy time series prediction.

Fanjun Li, Ying Li

Appl. Soft Comput., October, 2023

2022

Growing deep echo state network with supervised learning for time series prediction.

Ying Li, Fanjun Li

Appl. Soft Comput., 2022

2019

Effects of singular value spectrum on the performance of echo state network.

Fanjun Li, Xiaohong Wang, Ying Li

Neurocomputing, 2019

PSO-based growing echo state network.

Ying Li, Fanjun Li

Appl. Soft Comput., 2019

2017

Growing Echo-State Network With Multiple Subreservoirs.

Junfei Qiao, Fanjun Li, Honggui Han, Wenjing Li

IEEE Trans. Neural Networks Learn. Syst., 2017

2016

Constructive algorithm for fully connected cascade feedforward neural networks.

Junfei Qiao, Fanjun Li, Honggui Han, Wenjing Li

Neurocomputing, 2016

A self-organizing cascade neural network with random weights for nonlinear system modeling.

Fanjun Li, Junfei Qiao, Honggui Han, Cuili Yang

Appl. Soft Comput., 2016

An Approach to Design Growing Echo State Networks.

Fanjun Li, Ying Li

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

2013

A Pruning Algorithm for Extreme Learning Machine.

Ying Li, Fanjun Li

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

2011

Cascade-Correlation Algorithm with Trainable Activation Functions.

Fanjun Li, Ying Li

Comput. Inf. Sci., 2011