Pages that link to "Item:Q1311981"
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The following pages link to Recurrent neural networks for solving linear matrix equations (Q1311981):
Displaying 28 items.
- On the computation of weighted Moore-Penrose inverse using a high-order matrix method (Q316397) (← links)
- Solving of real matrix equations \(AX-YB=C\) making use of neural networks (Q1209516) (← links)
- Recurrent neural networks for LU decomposition and Cholesky factorization (Q1324265) (← links)
- A recurrent neural network for computing pseudoinverse matrices (Q1334737) (← links)
- Analog approach for the eigen-decomposition of positive definite matrices (Q1608415) (← links)
- Recurrent neural dynamic models for equilibrium and eigenvalue problems (Q1609390) (← links)
- General recurrent neural network for solving generalized linear matrix equation (Q1674941) (← links)
- Recurrent neural network for computing the \(W\)-weighted Drazin inverse (Q1735139) (← links)
- A novel approach solving for linear matrix inequalities using neural networks (Q1853924) (← links)
- A multilayer recurrent neural network for on-line synthesis of minimum-norm linear feedback control systems via pole assignment (Q1915013) (← links)
- Improved gradient-based neural networks for online solution of Lyapunov matrix equation (Q1944135) (← links)
- Two finite-time convergent Zhang neural network models for time-varying complex matrix Drazin inverse (Q2002773) (← links)
- Accelerating noise-tolerant zeroing neural network with fixed-time convergence to solve the time-varying Sylvester equation (Q2059384) (← links)
- Gradient-based neural networks for solving periodic Sylvester matrix equations (Q2109185) (← links)
- Nonlinear recurrent neural networks for finite-time solution of general time-varying linear matrix equations (Q2179296) (← links)
- A new type of recurrent neural networks for real-time solution of Lyapunov equation with time-varying coefficient matrices (Q2227398) (← links)
- Properties and computation of continuous-time solutions to linear systems (Q2243239) (← links)
- Exact solutions and convergence of gradient based dynamical systems for computing outer inverses (Q2246062) (← links)
- A 2d neural network with application to solving a class of matrix equations (Q4293409) (← links)
- Robust recurrent dynamic neural network for solving linear and nonlinear signal representation problems (Q4546863) (← links)
- (Q4987540) (← links)
- Complex ZNN for computing time-varying weighted pseudo-inverses (Q5028799) (← links)
- (Q5083087) (← links)
- Complex Neural Network Models for Time-Varying Drazin Inverse (Q5380604) (← links)
- Varying-parameter Zhang neural network for approximating some expressions involving outer inverses (Q5859006) (← links)
- Recurrent neural networks for computing weighted Moore-Penrose inverse (Q5931668) (← links)
- Recurrent neural networks for nonlinear output regulation (Q5943836) (← links)
- Discrete generalized-Sylvester matrix equation solved by RNN with a novel direct discretization numerical method (Q6156111) (← links)