Zeroing neural dynamics (ZND)Permutation matrixKronecker product and vectorizationIn this paper, the future unknown-transpose matrix inequality (FUTMI) as well as scalar inequality is formulated and investigated for the first time. This particular class of inequality may be encountered in scientific ...
Zhang. Solving time-varying nonlinear inequalities using continuous and discrete-time Zhang dynamics. Int. J. Comput. Math. , 2013 , 90(5): 1114 -1127 CrossRef Google Scholar [2] W. Li. A recurrent neural network with explicitly definable convergence time for solving time-variant linear...
Robust neural dynamics for depth maintenance tracking control of robot manipulators with uncertainty and perturbation IEEE Trans. Autom. Sci. Eng. (2024), 10.1109/TASE.2024.3458998 Google Scholar [28] Chen D., Li X., Li S. A novel convolutional neural network model based on beetle antennae sear...
It is known that neural networks are usually applied in artificial intelligence field via adjusting synaptic weight. Show abstract A fixed-time convergent and noise-tolerant zeroing neural network for online solution of time-varying matrix inversion 2022, Applied Soft Computing Citation Excerpt : Faced...
The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics classification, 60% of the filters in VGG-16 for CIFAR10 classification, and on medical image models in removing 60% of the channels in a U-Net for instance segmentation and 50% of the channels in CNN mode...
Zeroing neural dynamics (ZND)Permutation matrixKronecker product and vectorizationIn this paper, the future unknown-transpose matrix inequality (FUTMI) as well as scalar inequality is formulated and investigated for the first time. This particular class of inequality may be encountered in scientific ...
The NIZND model is a brain-inspired algorithm that incorporates an integral term and an activation function into the traditional zeroing neural dynamics (ZND) model, designed to effectively mitigate noise interference during localization tasks. Theoretical analysis confirms that the proposed NIZND model ...
Retracted: Noise-Tolerant Zeroing Neural Dynamics for Solving Hybrid Multilayered Time-Varying Linear Equation Systemdoi:10.1155/2024/9757195LINEAR systemsRESEARCH integrityQUALITY controlThis article from the journal "Security & Communication Networks" has been retracted by Hindawi due to...
Zeroing neural dynamics (ZND)Discrete modelsSimulative resultsIn this paper, the problem of diagonalizing a symmetric matrix stream (or say, time-varying matrix) is investigated. To fulfill our goal of diagonalization, two error functions are constructed. By making the error functions converge to ...
Zeroing neural dynamicsZeaD formulaGS-type flmeConvergenceIn this paper, a new discrete-time zeroing dynamics (or say, Zhang dynamics, ZD) model is proposed, analyzed and investigated for solving generalized-Sylvester-type future linear matrix equation (GS-type FLME). First of all, based on ZD ...