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ORCIDFanjun Li
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- affiliation: University of Jinan, School of Mathematical Sciences, China
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2020 – today
- 2026
[j15]Xinyu Shen, Fanjun Li, Jiayue Feng, Wenjie Li, Jingyi Chen:
Multi-scale Regulation of Reservoir Topology in Echo State Networks. Neurocomputing 660: 131918 (2026)- 2025
- [j14]Wenting Wang, Fanjun Li, Qianwen Liu:
Echo state network with a non-convex penalty for nonlinear time series prediction. Neurocomputing 637: 130084 (2025) - [j13]Jiayue Feng
, Fanjun Li, Xinyu Shen, Shanshan Xue, Shaoqi Cheng:
NOx Concentration Prediction for Cement Rotary Kiln Under Multiworking Conditions Based on an Echo State Network With Modular Output. IEEE Trans. Instrum. Meas. 74: 1-12 (2025) - [j12]Shanshan Xue, Fanjun Li, Shaoqi Cheng, Jiayue Feng, Xinyu Shen:
A Hybrid Data-Driven Model for Predicting NOx Concentration in a Cement Clinker Calcination System. IEEE Trans. Instrum. Meas. 74: 1-12 (2025) - 2024
- [j11]Qianwen Liu, Fanjun Li, Shoujing Zheng, Xingshang Li:
Multi-module echo state network with variable skip length for chaotic time series prediction. Appl. Soft Comput. 167: 112441 (2024) - [j10]Qianwen Liu, Fanjun Li, Wenting Wang:
Memory augmented echo state network for time series prediction. Neural Comput. Appl. 36(7): 3761-3776 (2024) - [j9]Xingshang Li, Fanjun Li, Shoujing Zheng, Qianwen Liu:
NOx Concentration Prediction With a Flexible Cascaded Echo-State Network in a Cement Clinker Calcination System. IEEE Trans. Ind. Informatics 20(7): 9644-9654 (2024) - 2023
- [j8]Fanjun Li, Ying Li:
Robust echo state network with Cauchy loss function and hybrid regularization for noisy time series prediction. Appl. Soft Comput. 146: 110640 (2023) - 2022
- [j7]Ying Li, Fanjun Li:
Growing deep echo state network with supervised learning for time series prediction. Appl. Soft Comput. 128: 109454 (2022)
2010 – 2019
- 2019
- [j6]Ying Li, Fanjun Li:
PSO-based growing echo state network. Appl. Soft Comput. 85 (2019) - [j5]Fanjun Li, Xiaohong Wang, Ying Li:
Effects of singular value spectrum on the performance of echo state network. Neurocomputing 358: 414-423 (2019) - 2017
- [j4]Junfei Qiao, Fanjun Li, Honggui Han, Wenjing Li:
Growing Echo-State Network With Multiple Subreservoirs. IEEE Trans. Neural Networks Learn. Syst. 28(2): 391-404 (2017) - 2016
- [j3]Fanjun Li, Junfei Qiao, Honggui Han, Cuili Yang:
A self-organizing cascade neural network with random weights for nonlinear system modeling. Appl. Soft Comput. 42: 184-193 (2016) - [j2]Junfei Qiao, Fanjun Li, Honggui Han, Wenjing Li:
Constructive algorithm for fully connected cascade feedforward neural networks. Neurocomputing 182: 154-164 (2016) - [c2]Fanjun Li, Ying Li:
An Approach to Design Growing Echo State Networks. IDEAL 2016: 220-230 - 2013
- [c1]Ying Li, Fanjun Li:
A Pruning Algorithm for Extreme Learning Machine. IDEAL 2013: 1-7 - 2011
- [j1]Fanjun Li, Ying Li:
Cascade-Correlation Algorithm with Trainable Activation Functions. Comput. Inf. Sci. 4(6): 28-37 (2011)
Coauthor Index
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