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Jinxing Che
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2020 – today
- 2025
- [j18]Jianming Hu, Yuwen Deng, Jinxing Che:
A novel wind power interval prediction method based on neural ensemble search and dynamic conformalized quantile regression. Appl. Soft Comput. 180: 113476 (2025) - [j17]Weirui Jiang, Jinxing Che
, Kun Hu
, Yifan Xu, Wei Dong:
Adaptive weighted multiple imputation with generative adversarial networks for improving wind speed data integrity. Eng. Appl. Artif. Intell. 160: 111942 (2025) - [j16]Kun Hu
, Jinxing Che
, Wenxin Xia, Yifan Xu
, Yuerong Li:
Enhancing multi-step air quality prediction with deep learning using residual neural network and adaptive decomposition-based multi-objective optimization. Expert Syst. Appl. 273: 126969 (2025) - [j15]Jinxing Che, Wenxin Xia, Yifan Xu
, Kun Hu
:
Multivariate wind speed forecasting with genetic algorithm-based feature selection and oppositional learning sparrow search. Inf. Sci. 695: 121736 (2025) - [j14]Yuerong Li, Yuhua Zhang, Jinxing Che:
Optimal weight support vector regression ensemble with cluster-based subsampling for electricity price forecasting. J. Intell. Fuzzy Syst. 49(1): 109-124 (2025) - 2024
- [j13]Jinxing Che
, Kun Hu
, Wenxin Xia, Yifan Xu
, Yuerong Li:
Short-term air quality prediction using point and interval deep learning systems coupled with multi-factor decomposition and data-driven tree compression. Appl. Soft Comput. 166: 112191 (2024) - [j12]Wenxin Xia
, Jinxing Che
, Kun Hu
, Yifan Xu
:
A synchronized multi-step wind speed prediction with adaptive features and parameters selection: Insights from an interaction model. Expert Syst. Appl. 255: 124764 (2024) - [j11]Yuhua Zhang, Yuerong Li, Jinxing Che
:
Optimal weight random forest ensemble with Fuzzy C-means cluster-based subsampling for carbon price forecasting. J. Intell. Fuzzy Syst. 46(1): 991-1003 (2024) - 2023
- [j10]Zheyong Jiang
, Jinxing Che
, Nan Li, Qingmei Tan
:
Deterministic and probabilistic multi-time-scale forecasting of wind speed based on secondary decomposition, DFIGR and a hybrid deep learning method. Expert Syst. Appl. 234: 121051 (2023) - [j9]Mingjun He, Jinxing Che
, Zheyong Jiang
, Weihua Zhao, Bingrong Wan:
A novel decomposition-denoising ANFIS model based on singular spectrum analysis and differential evolution algorithm for seasonal AQI forecasting. J. Intell. Fuzzy Syst. 44(2): 2325-2349 (2023) - [j8]Wenxin Xia, Jinxing Che
:
A parsimonious ensemble with optimal deep learning and secondary decomposition for short-term wind speed forecasting. J. Intell. Fuzzy Syst. 45(6): 10799-10822 (2023) - 2022
- [j7]Huafeng Xian, Jinxing Che
:
Unified whale optimization algorithm based multi-kernel SVR ensemble learning for wind speed forecasting. Appl. Soft Comput. 130: 109690 (2022) - [j6]Fang Yuan, Jinxing Che
:
An ensemble multi-step M-RMLSSVR model based on VMD and two-group strategy for day-ahead short-term load forecasting. Knowl. Based Syst. 252: 109440 (2022)
2010 – 2019
- 2017
- [j5]JinXing Che
, Youlong Yang, Li Li, Yanying Li, Suling Zhu:
A modified support vector regression: Integrated selection of training subset and model. Appl. Soft Comput. 53: 308-322 (2017) - [j4]JinXing Che
, Youlong Yang, Li Li, Xuying Bai, Shenghu Zhang, Chengzhi Deng:
Maximum relevance minimum common redundancy feature selection for nonlinear data. Inf. Sci. 409: 68-86 (2017) - 2015
- [j3]JinXing Che
:
Optimal sub-models selection algorithm for combination forecasting model. Neurocomputing 151: 364-375 (2015) - 2013
- [j2]JinXing Che
:
Support vector regression based on optimal training subset and adaptive particle swarm optimization algorithm. Appl. Soft Comput. 13(8): 3473-3481 (2013) - 2012
- [j1]JinXing Che
, JianZhou Wang, YuJuan Tang:
Optimal training subset in a support vector regression electric load forecasting model. Appl. Soft Comput. 12(5): 1523-1531 (2012)
2000 – 2009
- 2009
- [c3]Wenyu Zhang, Jinxing Che, Jianzhou Wang, Jinzhao Liang:
Prediction by Integration of Phase Space Reconstruction and a Novel Evolutionary System under Deregulated Power Market. WKDD 2009: 733-736 - 2008
- [c2]Jianzhou Wang, Jinxing Che
, Jinzhao Liang, Haiyan Lu
:
Research on Real Estate Early Warning System Based on Decision Tree and Fuzzy Recognition Theory. FSKD (3) 2008: 414-418 - [c1]Wenyu Zhang, Jinzhao Liang, Jianzhou Wang, Jinxing Che
:
Chaotic Time Series Forecasting Base on Fuzzy Adaptive PSO for Feedforward Neural Network Training. ICYCS 2008: 3022-3027
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