4篇
您的检索式：作者名="Chengze Jiang"
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| 1 | Multicenter prospective study of magnetic resonance imaging prior to breast-conserving surgery for breast cancer显示文摘 | Liu Qian Liu Yinhua Xu Ling Duan Xuening Li Ting Qin Naishan Kang Hua Jiang Hongchuan Yang Deqi Qu Xiang Jiang Zefei Yu Chengze | 2014 | Chinese Medical Journal2014，，13： | 6 |
| 2 | Long-term trend of hazepollution and impact of particulate matter in the Yangtze RiverDelta, China 显示文摘 | ChengZ Wang S X Jiang J K | 2013 | Environmental Pollution2013，182，： | 1 |
| 3 | Noise-tolerate and adaptive coefficient zeroing neural network for solving dynamic matrix square root显示文摘The solving of dynamic matrix square root(DMSR)problems is frequently encountered in many scientific and engineering fields.Although the original zeroing neural network is powerful for solving the DMSR,it cannot vanish the influence of the noise perturbations,and its constant-coefficient design scheme cannot accelerate the convergence speed.Therefore,a noise-tolerate and adaptive coefficient zeroing neural network(NTACZNN)is raised to enhance the robust noise immunity performance and accelerate the conver-gence speed simultaneously.Then,the global convergence and robustness of the pro-posed NTACZNN are theoretically analysed under an ideal environment and noise-perturbed circumstances.Furthermore,some illustrative simulation examples are designed and performed in order to substantiate the efficacy and advantage of the NTACZNN for the DMSR problem solution.Compared with some existing ZNNs,the proposed NTACZNN possesses advanced performance in terms of noise tolerance,solution accuracy,and convergence rate. | Xiuchun Xiao Chengze Jiang Qixiang Mei Yudong Zhang | 2024 | CAAI Transactions on Intelligence Technology2024，9，1： | 0 |
| 4 | Norm-Based Adaptive Coefficient ZNN for Solving the Time-Dependent Algebraic Riccati Equation显示文摘Dear Editor, The time-dependent algebraic Riccati equation(TDARE) problem is applied to many optimal control industrial applications. It is susceptible to interference from measurement noises in the virtual environment, which current methods cannot effectively address. A normbased adaptive coefficient zeroing neural network(NACZNN) model to solve the TDARE problem is proposed. | Chengze Jiang Xiuchun Xiao | 2023 | IEEE/CAA Journal of Automatica Sinica2023，10，1： | 0 |
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