Bingjie Zhang
Affiliations:- Weifang University, School of Mathematics and Statistics, China
- China University of Petroleum (East China), College of Science, Qingdao, China (former)
According to our database1,
Bingjie Zhang
authored at least 14 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
Neural Networks, 2025
2024
Zero-order fuzzy neural network with adaptive fuzzy partition and its applications on high-dimensional problems.
Neurocomputing, February, 2024
2023
Double groups of gates based Takagi-Sugeno-Kang (DG-TSK) fuzzy system for simultaneous feature selection and rule extraction.
Fuzzy Sets Syst., 2023
2022
Nonstationary fuzzy neural network based on FCMnet clustering and a modified CG method with Armijo-type rule.
Inf. Sci., 2022
Proceedings of the Intelligent Computing Methodologies - 18th International Conference, 2022
2020
Convergence of a modified gradient-based learning algorithm with penalty for single-hidden-layer feed-forward networks.
Neural Comput. Appl., 2020
2019
Fully complex conjugate gradient-based neural networks using Wirtinger calculus framework: Deterministic convergence and its application.
Neural Networks, 2019
2018
A novel conjugate gradient method with generalized Armijo search for efficient training of feedforward neural networks.
Neurocomputing, 2018
A Polak-Ribière-Polyak Conjugate Gradient-Based Neuro-Fuzzy Network and its Convergence.
IEEE Access, 2018
An Efficient Elman Neural Networks Based on Improved Conjugate Gradient Method with Generalized Armijo Search.
Proceedings of the Intelligent Computing Theories and Application, 2018
Fully Complex-Valued Wirtinger Conjugate Neural Networks with Generalized Armijo Search.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
2017
IEEE Access, 2017
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
An Improved Conjugate Gradient Neural Networks Based on a Generalized Armijo Search Method.
Proceedings of the Neural Information Processing - 24th International Conference, 2017