Jianhua Yang

Orcid: 0000-0002-1780-4051

Affiliations:
  • 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 35 papers between 2004 and 2024.

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Bibliography

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

A stacked architecture-based fuzzy classifier with data position transformation using fuzzy cognitive maps.
J. Intell. Fuzzy Syst., January, 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

Design of Granular Model: A Method Driven by Hyper-Box Iteration Granulation.
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

A rule-based granular model development for interval-valued time series.
Int. J. Approx. Reason., 2021

Long-term prediction of time series using fuzzy cognitive maps.
Eng. Appl. Artif. Intell., 2021

Granular Classification for Imbalanced Datasets: A Minkowski Distance-Based Method.
Algorithms, 2021

The Modeling of Time Series Based on Least Square Fuzzy Cognitive Map.
Algorithms, 2021

Time Series Modeling with Fuzzy Cognitive Maps based on Partitioning Strategies.
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

Rule-based granular classification: A hypersphere information granule-based method.
Knowl. Based Syst., 2020

2019
Granular Fuzzy Modeling for Multidimensional Numeric Data: A Layered Approach Based on Hyperbox.
IEEE Trans. Fuzzy Syst., 2019

Fuzzy granular classification based on the principle of justifiable granularity.
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

Interval Granular Fuzzy Models: Concepts and Development.
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
A Human-Computer Cooperation Fuzzy c-Means Clustering with Interval-Valued Weights.
Int. J. Intell. Syst., 2015

Using interval information granules to improve forecasting in fuzzy time series.
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

Numerical Prediction of Time Series Based on FCMs with Information Granules.
Int. J. Comput. Commun. Control, 2014

The modeling of time series based on fuzzy information granules.
Expert Syst. Appl., 2014

2013
The Linguistic Forecasting of Time Series using Improved Fuzzy Cognitive Map.
Int. J. Comput. Intell. Appl., 2013

The linguistic forecasting of time series based on fuzzy cognitive maps.
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
PID Controller Based on the Artificial Neural Network.
Proceedings of the Advances in Neural Networks, 2004


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