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Jingcan Zhu

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2025
[j8]
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  - journals/tetci/ZhuJCWLO25
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Jingcan Zhu, Jie Jin, Chaoyang Chen, Lianghong Wu, Ming Lu, Aijia Ouyang:
A New-Type Zeroing Neural Network Model and Its Application in Dynamic Cryptography. IEEE Trans. Emerg. Top. Comput. Intell. 9(1): 176-191 (2025)
2024
[j7]
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Jie Jin, Jingcan Zhu, Lan Zhou, Chaoyang Chen, Lianghong Wu, Ming Lu, Changren Zhu, Lei Chen, Lv Zhao, Zhijing Li:
A Complex-Valued Variant-Parameter Robust Zeroing Neural Network Model and its Applications. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1303-1321 (2024)
2023
[j6]
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  - journals/mcs/JinCQZL23
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Jie Jin, Weijie Chen, Lixin Qiu, Jingcan Zhu, Haiyan Liu:
A noise tolerant parameter-variable zeroing neural network and its applications. Math. Comput. Simul. 207: 482-498 (2023)
[j5]
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  - journals/npl/ChenJGQZ23
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Weijie Chen, Jie Jin, Dimitrios Gerontitis, Lixin Qiu, Jingcan Zhu:
Improved Recurrent Neural Networks for Text Classification and Dynamic Sylvester Equation Solving. Neural Process. Lett. 55(7): 8755-8784 (2023)
[j4]
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  - journals/tcyb/JinZZCCG23
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Jie Jin, Jingcan Zhu, Lv Zhao, Lei Chen, Long Chen, Jianqiang Gong:
A Robust Predefined-Time Convergence Zeroing Neural Network for Dynamic Matrix Inversion. IEEE Trans. Cybern. 53(6): 3887-3900 (2023)
2022
[j3]
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Jie Jin, Jingcan Zhu, Lv Zhao, Lei Chen:
A fixed-time convergent and noise-tolerant zeroing neural network for online solution of time-varying matrix inversion. Appl. Soft Comput. 130: 109691 (2022)
[j2]
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Jingcan Zhu, Jie Jin, Weijie Chen, Jianqiang Gong:
A combined power activation function based convergent factor-variable ZNN model for solving dynamic matrix inversion. Math. Comput. Simul. 197: 291-307 (2022)
[j1]
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  - journals/nca/JinZGC22
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Jie Jin, Jingcan Zhu, Jianqing Gong, Weijie Chen:
Novel activation functions-based ZNN models for fixed-time solving dynamirc Sylvester equation. Neural Comput. Appl. 34(17): 14297-14315 (2022)

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