Peng Chang
Orcid: 0000-0002-7766-5583Affiliations:
- Beijing University of Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, China (PhD 2015)
According to our database1,
Peng Chang
authored at least 13 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
Application of non-Gaussian feature enhancement extraction in gated recurrent neural network for fault detection in batch production processes.
Expert Syst. Appl., March, 2024
IEEE Trans. Neural Networks Learn. Syst., February, 2024
2023
Efficient fault monitoring in wastewater treatment processes with time stacked broad learning network.
Expert Syst. Appl., December, 2023
Multi-objective Pigeon-inspired Optimized feature enhancement soft-sensing model of Wastewater Treatment Process.
Expert Syst. Appl., April, 2023
2022
Dynamic hidden variable fuzzy broad neural network based batch process anomaly detection with incremental learning capabilities.
Expert Syst. Appl., 2022
Monitoring of wastewater treatment process based on multi-stage variational autoencoder.
Expert Syst. Appl., 2022
Expert Syst. Appl., 2022
Soft measurement of effluent index in sewage treatment process based on overcomplete broad learning system.
Appl. Soft Comput., 2022
2021
An effective deep recurrent network with high-order statistic information for fault monitoring in wastewater treatment process.
Expert Syst. Appl., 2021
Eng. Appl. Artif. Intell., 2021
Over-complete deep recurrent neutral network based on wastewater treatment process soft sensor application.
Appl. Soft Comput., 2021
2020
Neural Networks, 2020
2019
Phase Partition and Fault Diagnosis of Batch Process Based on KECA Angular Similarity.
IEEE Access, 2019