Convergence and robustness of bounded recurrent neural networks for solving dynamic Lyapunov equations

A recurrent neural network for solving Sylvester equation with time-varying coefficients

Yunong Zhang, Danchi Jiang, Jun Wang · IEEE Transactions on Neural Networks · 2002 · 645 citations

Nonlinear Control, Nonlinear System Identification, Engineering +6

Image denoising review: From classical to state-of-the-art approaches

Bhawna Goyal, Ayush Dogra, Sunil Agrawal et al. · Information Fusion · 2019 · 438 citations

Image Analysis, Engineering, Biomedical Imaging +6

A Cyclic Low-Rank Smith Method for Large Sparse Lyapunov Equations

Thilo Penzl · SIAM Journal on Scientific Computing · 1999 · 402 citations

Numerical Analysis, Mathematical Programming, Reduced Order Modeling +14

Accelerating a Recurrent Neural Network to Finite-Time Convergence for Solving Time-Varying Sylvester Equation by Using a Sign-Bi-power Activation Function

Shuai Li, Sanfeng Chen, Bo Liu · Neural Processing Letters · 2012 · 366 citations

Numerical Analysis, Nonlinear System Identification, Finite-time Convergence +7

Activated Gradients for Deep Neural Networks

Mei Liu, Liangming Chen, Xiaohao Du et al. · IEEE Transactions on Neural Networks and Learning Systems · 2021 · 243 citations

Convolutional Neural Network, Deep Neural Networks, Machine Vision +15