Jianhua Yang
Orcid: 0000-0002-1780-4051Affiliations:
- Dalian University of Technology, Faculty of Electronic Information and Electrical Engineering, School of Control Science and Engineering, China
According to our database1,
Jianhua Yang
authored at least 36 papers
between 2004 and 2025.
Collaborative distances:
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Bibliography
2025
Knowledge graph completion with low-dimensional gated hierarchical hyperbolic embedding.
Knowl. Based Syst., 2025
A distributed algorithm with network-independent step-size and event-triggered mechanism for economic dispatch problem.
Int. J. Netw. Manag., 2025
2024
Distributed Event-Triggered Algorithm with Network Independent Step-Size for Constraint-Coupled Optimization Problems.
J. Circuits Syst. Comput., August, 2024
A Hypersphere Information Granule-Based Fuzzy Classifier Embedded With Fuzzy Cognitive Maps for Classification of Imbalanced Data.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024
Hierarchical knowledge graph relationship prediction leverage of axiomatic fuzzy set graph structure.
Expert Syst. Appl., 2024
2023
A rule-based deep fuzzy system with nonlinear fuzzy feature transform for data classification.
Inf. Sci., July, 2023
IEEE Trans. Cybern., May, 2023
CircularE: A Complex Space Circular Correlation Relational Model for Link Prediction in Knowledge Graph Embedding.
IEEE ACM Trans. Audio Speech Lang. Process., 2023
2021
Granular Description With Multigranularity for Multidimensional Data: A Cone-Shaped Fuzzy Set-Based Method.
IEEE Trans. Fuzzy Syst., 2021
Granular Fuzzy Modeling Guided Through the Synergy of Granulating Output Space and Clustering Input Subspaces.
IEEE Trans. Cybern., 2021
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy.
IEEE Trans. Cybern., 2021
Int. J. Approx. Reason., 2021
Eng. Appl. Artif. Intell., 2021
Algorithms, 2021
Algorithms, 2021
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021
2020
Fast and Effective Learning for Fuzzy Cognitive Maps: A Method Based on Solving Constrained Convex Optimization Problems.
IEEE Trans. Fuzzy Syst., 2020
Knowl. Based Syst., 2020
2019
Granular Fuzzy Modeling for Multidimensional Numeric Data: A Layered Approach Based on Hyperbox.
IEEE Trans. Fuzzy Syst., 2019
Knowl. Based Syst., 2019
The linguistic modeling of interval-valued time series: A perspective of granular computing.
Inf. Sci., 2019
The Modeling of Interval-Valued Time Series: A Method Based on Fuzzy Set Theory and Artificial Neural Networks.
Int. J. Comput. Intell. Appl., 2019
Refinement of Background-Subtraction Methods Based on Convolutional Neural Network Features for Dynamic Background.
Algorithms, 2019
Combining Background Subtraction and Convolutional Neural Network for Anomaly Detection in Pumping-Unit Surveillance.
Algorithms, 2019
Dynamic Background Subtraction Using Histograms Based on Fuzzy C-Means Clustering and Fuzzy Nearness Degree.
IEEE Access, 2019
2016
The granular extension of Sugeno-type fuzzy models based on optimal allocation of information granularity and its application to forecasting of time series.
Appl. Soft Comput., 2016
2015
Int. J. Intell. Syst., 2015
Int. J. Approx. Reason., 2015
2014
The modeling and prediction of time series based on synergy of high-order fuzzy cognitive map and fuzzy c-means clustering.
Knowl. Based Syst., 2014
Int. J. Comput. Commun. Control, 2014
Expert Syst. Appl., 2014
2013
Int. J. Comput. Intell. Appl., 2013
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
2012
The PID Controller Based on the Artificial Neural Network and the Differential Evolution Algorithm.
J. Comput., 2012
2004
Proceedings of the Advances in Neural Networks, 2004