Fei Chu
Orcid: 0009-0005-2724-822X
According to our database1,
Fei Chu
authored at least 24 papers
between 2013 and 2024.
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Bibliography
2024
IEEE Trans. Cybern., January, 2024
Operating Performance Assessment of Complex Nonlinear Industrial Process Based on Kernel Locally Linear Embedding PLS.
IEEE Trans Autom. Sci. Eng., January, 2024
2023
Broad Minimax Probability Learning System and its Application in Regression Modeling.
IEEE Trans. Syst. Man Cybern. Syst., March, 2023
Learning broad learning system with controllable sparsity through L<sub>0</sub> regularization.
Appl. Soft Comput., March, 2023
Operating performance assessment method for industrial process with slowness principle-based LSTM network.
Eng. Appl. Artif. Intell., 2023
Multi-strategy Improved Multi-objective Harris Hawk Optimization Algorithm with Elite Opposition-based Learning.
Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning, 2023
Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning, 2023
2022
Frequency-Domain Energy-Concentrated Synchrosqueezing Transform for Frequency-Varying Signal With Linear Group Delay.
IEEE Trans. Instrum. Meas., 2022
Self-supervised global context graph neural network for session-based recommendation.
PeerJ Comput. Sci., 2022
A Residue Amplifier with 85 dB DC Gain and 15 GHz Closed-Loop Bandwidth for 14-Bit 3GSPS Pipeline ADC.
Circuits Syst. Signal Process., 2022
A general data-driven nonlinear robust optimization framework based on statistic limit and principal component analysis.
Comput. Chem. Eng., 2022
Operating performance assessment of between-mode transitions for multi-mode plant-wide process.
Proceedings of the 13th Asian Control Conference, 2022
Graph auto encoder-based operation performance assessment method and its application for complex industrial process.
Proceedings of the 13th Asian Control Conference, 2022
2021
A process transfer model-based optimal compensation control strategy for batch process using just-in-time learning and trust region method.
J. Frankl. Inst., 2021
2020
Weighted Broad Learning System and Its Application in Nonlinear Industrial Process Modeling.
IEEE Trans. Neural Networks Learn. Syst., 2020
A Minimum-Cost Modeling Method for Nonlinear Industrial Process Based on Multimodel Migration and Bayesian Model Averaging Method.
IEEE Trans Autom. Sci. Eng., 2020
2019
Soft Sensor Model Development for Cobalt Oxalate Synthesis Process Based on Adaptive Gaussian Mixture Regression.
IEEE Access, 2019
2017
IEEE Access, 2017
Robust Regularized Random Vector Functional Link Network and Its Industrial Application.
IEEE Access, 2017
Rapid Modeling Method for Performance Prediction of Centrifugal Compressor Based on Model Migration and SVM.
IEEE Access, 2017
Proceedings of the 2017 American Control Conference, 2017
2016
Adaptive Fuzzy Output-Feedback Tracking Control for a Class of Switched Stochastic Nonlinear Time-Delay Systems.
Circuits Syst. Signal Process., 2016
2014
Neural Comput. Appl., 2014
2013
Soft sensor for cobalt oxalate synthesis process in cobalt hydrometallurgy based on hybrid model.
Neural Comput. Appl., 2013