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Bingjie Zhang 0001
Person information
- affiliation: Weifang University, School of Mathematics and Statistics, China
- affiliation (former): China University of Petroleum (East China), College of Science, Qingdao, China
Other persons with the same name
- Bingjie Zhang 0002 — Beihang University, School of Economics and Management, Beijing, China (and 1 more)
- Bingjie Zhang 0003 — University of Connecticut Storrs, Department of Electrical and Computer Engineering, CT, USA
- Bingjie Zhang 0004 — China Ship Development and Design Center, Wuhan, China
- Bingjie Zhang 0005 — Xi'an University of Science and Technology, China
- Bingjie Zhang 0006 — Tongji University, MoE Key Laboratory of Road and Traffic Engineering, Shanghai, China
- Bingjie Zhang 0007
— Taiyuan University of Technology, School of Software, China - Bingjie Zhang 0008
— Northeast Normal University, School of Information Science and Technology, Changchun, China - Bingjie Zhang 0009 — Jilin University, China
- Bingjie Zhang 0010 — Shanghai Huace Navigation Technology Ltd., China
- Bingjie Zhang 0011
— University of Electronic Science and Technology of China, School of Resources and Environment, Chengdu, China
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2020 – today
- 2025
[j9]Bingjie Zhang, Zihan Yu, Jian Wang
, Maciej Zelaszczyk
, Yaqian Zhang, Jacek Mandziuk, Chao Zhang, Witold Pedrycz:
Interpretable inverse iteration mean shift networks for clustering tasks. Neural Networks 189: 107528 (2025)- 2024
[j8]Bingjie Zhang, Jian Wang
, Chao Zhang, Jie Yang, Tufan Kumbasar
, Wei Wu:
Zero-order fuzzy neural network with adaptive fuzzy partition and its applications on high-dimensional problems. Neurocomputing 569: 127118 (2024)- 2023
[j7]Guangdong Xue
, Jian Wang
, Bingjie Zhang, Bin Yuan, Caili Dai:
Double groups of gates based Takagi-Sugeno-Kang (DG-TSK) fuzzy system for simultaneous feature selection and rule extraction. Fuzzy Sets Syst. 469: 108627 (2023)- 2022
[j6]Bingjie Zhang, Xiaoling Gong, Jian Wang
, Fengzhen Tang, Kai Zhang, Wei Wu:
Nonstationary fuzzy neural network based on FCMnet clustering and a modified CG method with Armijo-type rule. Inf. Sci. 608: 313-338 (2022)
[c5]Guangdong Xue
, Bingjie Zhang, Xiaoling Gong, Jian Wang
:
Bagging-AdaTSK: An Ensemble Fuzzy Classifier for High-Dimensional Data. ICIC (3) 2022: 32-43- 2020
[j5]Jian Wang
, Bingjie Zhang, Zhaoyang Sang, Yusong Liu, Shujun Wu, Quan Miao:
Convergence of a modified gradient-based learning algorithm with penalty for single-hidden-layer feed-forward networks. Neural Comput. Appl. 32(7): 2445-2456 (2020)
2010 – 2019
- 2019
[j4]Bingjie Zhang, Yusong Liu, Jinde Cao
, Shujun Wu, Jian Wang
:
Fully complex conjugate gradient-based neural networks using Wirtinger calculus framework: Deterministic convergence and its application. Neural Networks 115: 50-64 (2019)- 2018
[j3]Tao Gao
, Jian Wang
, Bingjie Zhang, Huaqing Zhang
, Peng Ren
, Nikhil R. Pal:
A Polak-Ribière-Polyak Conjugate Gradient-Based Neuro-Fuzzy Network and its Convergence. IEEE Access 6: 41551-41565 (2018)
[j2]Jian Wang
, Bingjie Zhang, Zhanquan Sun
, Wenxue Hao, Qingying Sun:
A novel conjugate gradient method with generalized Armijo search for efficient training of feedforward neural networks. Neurocomputing 275: 308-316 (2018)
[c4]Mingyue Zhu, Tao Gao
, Bingjie Zhang, Qingying Sun, Jian Wang
:
An Efficient Elman Neural Networks Based on Improved Conjugate Gradient Method with Generalized Armijo Search. ICIC (1) 2018: 1-7
[c3]Bingjie Zhang, Junze Wang, Shujun Wu, Jian Wang
, Huaqing Zhang:
Fully Complex-Valued Wirtinger Conjugate Neural Networks with Generalized Armijo Search. ICIC (3) 2018: 123-133- 2017
[j1]Jian Wang
, Guoling Yang, Bingjie Zhang, Zhanquan Sun, Yusong Liu, Jichao Wang:
Convergence Analysis of Caputo-Type Fractional Order Complex-Valued Neural Networks. IEEE Access 5: 14560-14571 (2017)
[c2]Bingjie Zhang, Tao Gao
, Long Li, Zhanquan Sun, Jian Wang
:
An Improved Conjugate Gradient Neural Networks Based on a Generalized Armijo Search Method. ICONIP (4) 2017: 131-139
[c1]Guoling Yang, Bingjie Zhang, Zhaoyang Sang, Jian Wang
, Hua Chen:
A Caputo-Type Fractional-Order Gradient Descent Learning of BP Neural Networks. ISNN (1) 2017: 547-554
Coauthor Index

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