Jinran Wu

Orcid: 0000-0002-2388-3614

According to our database1, Jinran Wu authored at least 29 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Predictions of runoff and sediment discharge at the lower Yellow River Delta using basin irrigation data.
Ecol. Informatics, December, 2023

Mixture extreme learning machine algorithm for robust regression.
Knowl. Based Syst., November, 2023

Robust Adaptive Rescaled Lncosh Neural Network Regression Toward Time-Series Forecasting.
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.
IEEE Trans. Fuzzy Syst., September, 2023

Iterative Learning in Support Vector Regression With Heterogeneous Variances.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2023

A working likelihood approach to support vector regression with a data-driven insensitivity parameter.
Int. J. Mach. Learn. Cybern., March, 2023

A Novel Deep Learning Model for Mining Nonlinear Dynamics in Lake Surface Water Temperature Prediction.
Remote. Sens., February, 2023

A new algorithm for support vector regression with automatic selection of hyperparameters.
Pattern Recognit., 2023

QQLMPA: A quasi-opposition learning and Q-learning based marine predators algorithm.
Expert Syst. Appl., 2023

Extreme Learning Machine-Assisted Solution of Biharmonic Equations via Its Coupled Schemes.
CoRR, 2023

Solving a class of multi-scale elliptic PDEs by means of Fourier-based mixed physics informed neural networks.
CoRR, 2023

Physical informed neural networks with soft and hard boundary constraints for solving advection-diffusion equations using Fourier expansions.
CoRR, 2023

2022
An efficient DBSCAN optimized by arithmetic optimization algorithm with opposition-based learning.
J. Supercomput., 2022

Robust penalized extreme learning machine regression with applications in wind speed forecasting.
Neural Comput. Appl., 2022

An asymmetric bisquare regression for mixed cyberattack-resilient load forecasting.
Expert Syst. Appl., 2022

An opposition learning and spiral modelling based arithmetic optimization algorithm for global continuous optimization problems.
Eng. Appl. Artif. Intell., 2022

Robustified extreme learning machine regression with applications in outlier-blended wind-speed forecasting.
Appl. Soft Comput., 2022

A hybrid robust system considering outliers for electric load series forecasting.
Appl. Intell., 2022

Event-triggered output feedback containment control for a class of stochastic nonlinear multi-agent systems.
Appl. Math. Comput., 2022

2021
A hybrid rolling grey framework for short time series modelling.
Neural Comput. Appl., 2021

State consensus cooperative control for a class of nonlinear multi-agent systems with output constraints via ADP approach.
Neurocomputing, 2021

A temporal LASSO regression model for the emergency forecasting of the suspended sediment concentrations in coastal oceans: Accuracy and interpretability.
Eng. Appl. Artif. Intell., 2021

A cloud endpoint coordinating CAPTCHA based on multi-view stacking ensemble.
Comput. Secur., 2021

2020
Adaptive resilient control of a class of nonlinear systems based on event-triggered mechanism.
Neurocomputing, 2020

An improved firefly algorithm for global continuous optimization problems.
Expert Syst. Appl., 2020

Improved Grey Model by Dragonfly Algorithm for Chinese Tourism Demand Forecasting.
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

A robust decomposition-ensemble framework for wind speed forecasting.
Proceedings of the 16th International Conference on Control, 2020

Modified Slime Mould Algorithm via Levy Flight.
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.
Comput. Intell. Neurosci., 2017


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