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Xiaodong Na 0002
Person information
- affiliation: Dalian University of Technology, Faculty of Electronic Information and Electrical Engineering, Dalian, China
Other persons with the same name
- Xiaodong Na 0001 — Harbin Normal University, Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin, China (and 2 more)
- Xiaodong Na 0003 — University of Kentucky, Department of Electrical and Computer Engineering, Lexington, KY, USA
- Xiaodong Na 0004 — Chinese Academy of Sciences, Northeast Institute of Geography and Agricultural Ecology, Changchun, China
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2020 – today
- 2023
- [j7]Xiaodong Na, Yuan Li, Weijie Ren, Min Han:
Physics-informed hierarchical echo state network for predicting the dynamics of chaotic systems. Expert Syst. Appl. 228: 120155 (2023) - [j6]Xiaodong Na, Mengyuan Zhang, Weijie Ren, Min Han:
Multistep-Ahead Chaotic Time Series Prediction Based on Hierarchical Echo State Network With Augmented Random Features. IEEE Trans. Cogn. Dev. Syst. 15(2): 700-711 (2023) - [j5]Xiaodong Na, Weijie Ren, Moran Liu, Min Han:
Hierarchical Echo State Network With Sparse Learning: A Method for Multidimensional Chaotic Time Series Prediction. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9302-9313 (2023) - 2022
- [j4]Jiaqian Wang, Xiaodong Na, Zhihui Li, Min Han, Decai Li:
Negative Gradient Differential Biogeography-based Optimization for Mobile Robot Path Planning. Int. J. Artif. Intell. Tools 31(5): 2250030:1-2250030:25 (2022) - [j3]Xiaodong Na, Jiaqian Wang, Min Han, Decai Li:
Gradient eigendecomposition invariance biogeography-based optimization for mobile robot path planning. Soft Comput. 26(13): 6131-6144 (2022) - [j2]Xiaodong Na, Min Han, Weijie Ren, Kai Zhong:
Modified BBO-Based Multivariate Time-Series Prediction System With Feature Subset Selection and Model Parameter Optimization. IEEE Trans. Cybern. 52(4): 2163-2173 (2022) - 2021
- [j1]Xiaodong Na, Weijie Ren, Xinghan Xu:
Hierarchical delay-memory echo state network: A model designed for multi-step chaotic time series prediction. Eng. Appl. Artif. Intell. 102: 104229 (2021)
Coauthor Index
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