Dynamic neural network models for time-varying problem solving: a survey on model structures
C Hua, X Cao, Q Xu, B Liao, S Li - IEEE Access, 2023 - ieeexplore.ieee.org
In recent years, neural networks have become a common practice in academia for handling
complex problems. Numerous studies have indicated that complex problems can generally …
complex problems. Numerous studies have indicated that complex problems can generally …
A new super-predefined-time convergence and noise-tolerant RNN for solving time-variant linear matrix–vector inequality in noisy environment and its application to …
B Zheng, C Yue, Q Wang, C Li, Z Zhang, J Yu… - Neural Computing and …, 2024 - Springer
Recurrent neural networks (RNNs) are excellent solvers for time-variant linear matrix–vector
inequality (TVLMVI). However, it is difficult for traditional RNNs to track the theoretical …
inequality (TVLMVI). However, it is difficult for traditional RNNs to track the theoretical …
Fixed-time solution of inequality constrained time-varying linear systems via zeroing neural networks
J Jin, W Chen, C Chen, L Wu - Journal of the Franklin Institute, 2024 - Elsevier
Zeroing neural network (ZNN) has been explored and applied in a variety of time-varying
problems solving. However, ZNN models for inequality constrained time-varying linear …
problems solving. However, ZNN models for inequality constrained time-varying linear …
An efficient and robust varying-parameter projection neural network for sparse signal reconstruction
Q Hu, B Zheng - Neurocomputing, 2024 - Elsevier
Sparse signal reconstruction plays an important role in many practical applications, and
therefore, many scholars strive to study its various effective (approximate) solution …
therefore, many scholars strive to study its various effective (approximate) solution …
Continuous and discrete gradient-Zhang neuronet (GZN) with analyses for time-variant overdetermined linear equation system solving as well as mobile localization …
Z Tang, Y Zhang - Neurocomputing, 2023 - Elsevier
In this paper, a novel continuous gradient-Zhang neuronet (GZN) model and three discrete
GZN algorithms are proposed to solve time-variant overdetermined linear equation system …
GZN algorithms are proposed to solve time-variant overdetermined linear equation system …
A flexible-predefined-time convergence and noise-suppression ZNN for solving time-variant Sylvester equation and its application to robotic arm
Although the zeroing neural network (ZNN) has strong competitiveness in solving the time-
varying Sylvester equation (TVSE), its convergence and robustness as two key indicators …
varying Sylvester equation (TVSE), its convergence and robustness as two key indicators …
[HTML][HTML] Solving the generalized Sylvester equation with a novel fast extended neurodynamics
D Gerontitis, P Tzekis - Numerical Algebra, Control and …, 2024 - aimsciences.org
Solving the generalized Sylvester equation with a novel fast extended neurodynamics AIMS
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