Jinran Wu

According to our database, Jinran Wu authored at least 38 papers between 2017 and 2024.

Collaborative distances:

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

2024

Multiscale-integrated deep learning approaches for short-term load forecasting.

Yang Yang, Yuchao Gao, Zijin Wang, Xi'an Li, Hu Zhou, Jinran Wu

Int. J. Mach. Learn. Cybern., December, 2024

Pinball-Huber boosted extreme learning machine regression: a multiobjective approach to accurate power load forecasting.

Yang Yang, Hao Lou, Zijin Wang, Jinran Wu

Appl. Intell., September, 2024

A survey on wind power forecasting with machine learning approaches.

Yang Yang, Hao Lou, Jinran Wu, Shaotong Zhang, Shangce Gao

Neural Comput. Appl., July, 2024

Solving a class of multi-scale elliptic PDEs by Fourier-based mixed physics informed neural networks.

Xi-An Li, Jinran Wu, Xin Tai, Jianhua Xu, You-Gan Wang

J. Comput. Phys., 2024

Robust autoregressive bidirectional gated recurrent units model for short-term power forecasting.

Yang Yang, Zijin Wang, Shangrui Zhao, Hu Zhou, Jinran Wu

Eng. Appl. Artif. Intell., 2024

Improvement of Bayesian PINN Training Convergence in Solving Multi-scale PDEs with Noise.

Yilong Hou, Xi'an Li, Jinran Wu

CoRR, 2024

Integrating behavior analysis with machine learning to predict online learning performance: A scientometric review and empirical study.

Jin Yuan, Xuelan Qiu, Jinran Wu, Jiesi Guo, Weide Li, You-Gan Wang

CoRR, 2024

Physical informed neural networks with soft and hard boundary constraints for solving advection-diffusion equations using Fourier expansions.

Xi-An Li, Jiaxin Deng, Jinran Wu, Shaotong Zhang, Weide Li, You-Gan Wang

Comput. Math. Appl., 2024

Augmented support vector regression with an autoregressive process via an iterative procedure.

Jinran Wu, You-Gan Wang, Hao Zhang

Appl. Soft Comput., 2024

2023

Predictions of runoff and sediment discharge at the lower Yellow River Delta using basin irrigation data.

Shangrui Zhao, Zhen Yang, Shaotong Zhang, Jinran Wu, Zixi Zhao, Dong-Sheng Jeng, You-Gan Wang

Ecol. Informatics, December, 2023

Mixture extreme learning machine algorithm for robust regression.

Shangrui Zhao, Xuan-Ang Chen, Jinran Wu, You-Gan Wang

Knowl. Based Syst., November, 2023

Robust Adaptive Rescaled Lncosh Neural Network Regression Toward Time-Series Forecasting.

Yang Yang, Hu Zhou, Jinran Wu, Zhe Ding, Yu-Chu Tian, Dong Yue, You-Gan Wang

IEEE Trans. Syst. Man Cybern. Syst., September, 2023

Event-Triggered Output Feedback Control for a Class of Nonlinear Systems via Disturbance Observer and Adaptive Dynamic Programming.

Yang Yang, Xin Fan, Weinan Gao, Wenbin Yue, Aaron Liu, Shuocong Geng, Jinran Wu

IEEE Trans. Fuzzy Syst., September, 2023

Iterative Learning in Support Vector Regression With Heterogeneous Variances.

Jinran Wu, You-Gan Wang

IEEE Trans. Emerg. Top. Comput. Intell., April, 2023

A working likelihood approach to support vector regression with a data-driven insensitivity parameter.

Jinran Wu, You-Gan Wang

Int. J. Mach. Learn. Cybern., March, 2023

A Novel Deep Learning Model for Mining Nonlinear Dynamics in Lake Surface Water Temperature Prediction.

Zihan Hao, Weide Li, Jinran Wu, Shaotong Zhang, Shujuan Hu

Remote. Sens., February, 2023

A new algorithm for support vector regression with automatic selection of hyperparameters.

You-Gan Wang, Jinran Wu, Zhi-Hua Hu, Geoffrey J. McLachlan

Pattern Recognit., 2023

QQLMPA: A quasi-opposition learning and Q-learning based marine predators algorithm.

Shangrui Zhao, Yulu Wu, Shuang Tan, Jinran Wu, Zhesen Cui, You-Gan Wang

Expert Syst. Appl., 2023

Extreme Learning Machine-Assisted Solution of Biharmonic Equations via Its Coupled Schemes.

Xi'an Li, Jinran Wu, Jiaxin Deng, Zhe Ding, You-Gan Wang, Xin Tai, Liang Liu

CoRR, 2023

Solving a class of multi-scale elliptic PDEs by means of Fourier-based mixed physics informed neural networks.

Xi-An Li, Jinran Wu, Zhi-Qin John Xu, You-Gan Wang

CoRR, 2023

Physical informed neural networks with soft and hard boundary constraints for solving advection-diffusion equations using Fourier expansions.

Jiaxin Deng, Xi'an Li, Jinran Wu, Shaotong Zhang, Weide Li, You-Gan Wang

CoRR, 2023

2022

An efficient DBSCAN optimized by arithmetic optimization algorithm with opposition-based learning.

Yang Yang, Chen Qian, Haomiao Li, Yuchao Gao, Jinran Wu, Chan-Juan Liu, Shangrui Zhao

J. Supercomput., 2022

Robust penalized extreme learning machine regression with applications in wind speed forecasting.

Yang Yang, Hu Zhou, Yuchao Gao, Jinran Wu, You-Gan Wang, Liya Fu

Neural Comput. Appl., 2022

An asymmetric bisquare regression for mixed cyberattack-resilient load forecasting.

Shangrui Zhao, Qingyue Wu, Yueyi Zhang, Jinran Wu, Xi-An Li

Expert Syst. Appl., 2022

An opposition learning and spiral modelling based arithmetic optimization algorithm for global continuous optimization problems.

Yang Yang, Yuchao Gao, Shuang Tan, Shangrui Zhao, Jinran Wu, Shangce Gao, Tengfei Zhang, Yu-Chu Tian, You-Gan Wang

Eng. Appl. Artif. Intell., 2022

Robustified extreme learning machine regression with applications in outlier-blended wind-speed forecasting.

Yang Yang, Hu Zhou, Jinran Wu, Zhe Ding, You-Gan Wang

Appl. Soft Comput., 2022

A hybrid robust system considering outliers for electric load series forecasting.

Yang Yang, Zhenghang Tao, Chen Qian, Yuchao Gao, Hu Zhou, Zhe Ding, Jinran Wu

Appl. Intell., 2022

Event-triggered output feedback containment control for a class of stochastic nonlinear multi-agent systems.

Yang Yang, Xiaorui Xi, Songtao Miao, Jinran Wu

Appl. Math. Comput., 2022

2021

A hybrid rolling grey framework for short time series modelling.

Zhesen Cui, Jinran Wu, Zhe Ding, Qibin Duan, Wei Lian, Yang Yang, Taoyun Cao

Neural Comput. Appl., 2021

State consensus cooperative control for a class of nonlinear multi-agent systems with output constraints via ADP approach.

Yang Yang, Xin Fan, Chuang Xu, Jinran Wu, Baohua Sun

Neurocomputing, 2021

A temporal LASSO regression model for the emergency forecasting of the suspended sediment concentrations in coastal oceans: Accuracy and interpretability.

Shaotong Zhang, Jinran Wu, Yonggang Jia, You-Gan Wang, Yaqi Zhang, Qibin Duan

Eng. Appl. Artif. Intell., 2021

A cloud endpoint coordinating CAPTCHA based on multi-view stacking ensemble.

Zhiyou Ouyang, Xu Zhai, Jinran Wu, Jian Yang, Dong Yue, Chunxia Dou, Tengfei Zhang

Comput. Secur., 2021

2020

Adaptive resilient control of a class of nonlinear systems based on event-triggered mechanism.

Yang Yang, Jingzhi Ge, Dong Yue, Qing Meng, Jinran Wu

Neurocomputing, 2020

An improved firefly algorithm for global continuous optimization problems.

Jinran Wu, You-Gan Wang, Kevin Burrage, Yu-Chu Tian, Brodie Lawson, Zhe Ding

Expert Syst. Appl., 2020

Improved Grey Model by Dragonfly Algorithm for Chinese Tourism Demand Forecasting.

Jinran Wu, Zhe Ding

Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

A robust decomposition-ensemble framework for wind speed forecasting.

Bingquan Zhang, Yang Yang, Dengli Zhao, Jinran Wu

Proceedings of the 16th International Conference on Control, 2020

Modified Slime Mould Algorithm via Levy Flight.

Zhesen Cui, Xiaolei Hou, Hu Zhou, Wei Lian, Jinran Wu

Proceedings of the 13th International Congress on Image and Signal Processing, 2020

2017

A New Hybrid Model FPA-SVM Considering Cointegration for Particular Matter Concentration Forecasting: A Case Study of Kunming and Yuxi, China.

Weide Li, Demeng Kong, Jinran Wu

Comput. Intell. Neurosci., 2017