On the public citation graph
Time-Varying Pseudoinversion Based on Full-Rank Decomposition and Zeroing Neural Networks
0 signed · 50 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/for.2874openalex-snapshot
A weights direct determination neuronet for time‐series with applications in the industrial indices of the Federal Reserve Bank of St. Louis
inferredcites →https://doi.org/10.1007/978-1-4842-0154-1openalex-snapshot
Numerical Methods using MATLAB
inferredcites →https://doi.org/10.1007/978-3-642-20570-5openalex-snapshot
Linear Algebra for Economists
inferredcites →https://doi.org/10.1007/978-981-13-0146-9openalex-snapshot
Generalized Inverses: Theory and Computations
inferredcites →https://doi.org/10.1007/s00607-010-0133-9openalex-snapshot
Zhang neural network solving for time-varying full-rank matrix Moore–Penrose inverse
inferredcites →https://doi.org/10.1007/s10479-020-03878-0openalex-snapshot
Service provider portfolio selection for project management using a BP neural network
inferredcites →https://doi.org/10.1007/s11063-017-9581-yopenalex-snapshot
Nonlinearly Activated Recurrent Neural Network for Computing the Drazin Inverse
inferredcites →https://doi.org/10.1007/s11063-019-09983-xopenalex-snapshot
Improved Gradient Neural Networks for Solving Moore–Penrose Inverse of Full-Rank Matrix
inferredcites →https://doi.org/10.1016/j.amc.2011.04.080openalex-snapshot
An improved method for the computation of the Moore–Penrose inverse matrix
inferredcites →https://doi.org/10.1016/j.amc.2019.124957openalex-snapshot
Computing the Moore-Penrose inverse using its error bounds
inferredcites →https://doi.org/10.1016/j.asoc.2015.11.023openalex-snapshot
A nonlinearly-activated neurodynamic model and its finite-time solution to equality-constrained quadratic optimization with nonstationary coefficients
inferredcites →https://doi.org/10.1016/j.cor.2021.105582openalex-snapshot
Time-varying mean–variance portfolio selection problem solving via LVI-PDNN
inferredcites →https://doi.org/10.1016/j.ins.2021.06.038openalex-snapshot
High-order error function designs to compute time-varying linear matrix equations
inferredcites →https://doi.org/10.1016/j.ins.2022.03.094openalex-snapshot
A higher-order zeroing neural network for pseudoinversion of an arbitrary time-varying matrix with applications to mobile object localization
inferredcites →https://doi.org/10.1016/j.knosys.2022.108405openalex-snapshot
A fuzzy adaptive zeroing neural network with superior finite-time convergence for solving time-variant linear matrix equations
inferredcites →https://doi.org/10.1016/j.laa.2017.03.014openalex-snapshot
Two finite-time convergent Zhang neural network models for time-varying complex matrix Drazin inverse
inferredcites →https://doi.org/10.1016/j.neucom.2013.12.001openalex-snapshot
From different ZFs to different ZNN models accelerated via Li activation functions to finite-time convergence for time-varying matrix pseudoinversion
inferredcites →https://doi.org/10.1016/j.neucom.2015.04.070openalex-snapshot
A finite-time convergent neural dynamics for online solution of time-varying linear complex matrix equation
inferredcites →https://doi.org/10.1016/j.neucom.2017.09.034openalex-snapshot
Complex ZFs for computing time-varying complex outer inverses
inferredcites →https://doi.org/10.1016/j.neucom.2019.11.101openalex-snapshot
Zeroing neural network methods for solving the Yang-Baxter-like matrix equation
inferredcites →https://doi.org/10.1016/j.neucom.2020.06.050openalex-snapshot
Noise-tolerant neural algorithm for online solving time-varying full-rank matrix Moore–Penrose inverse problems: A control-theoretic approach
inferredcites →https://doi.org/10.1016/j.neucom.2020.08.026openalex-snapshot
Improved recurrent neural networks for solving Moore-Penrose inverse of real-time full-rank matrix
inferredcites →https://doi.org/10.1016/j.neunet.2017.11.022openalex-snapshot
Self-learning robust optimal control for continuous-time nonlinear systems with mismatched disturbances
inferredcites →https://doi.org/10.1080/01630563.2020.1740887openalex-snapshot
Computing Time-Varying ML-Weighted Pseudoinverse by the Zhang Neural Networks
inferredcites →https://doi.org/10.1080/03610910601161298openalex-snapshot
O(N2)-Operation Approximation of Covariance Matrix Inverse in Gaussian Process Regression Based on Quasi-Newton BFGS Method
inferredcites →https://doi.org/10.1109/access.2021.3068731openalex-snapshot
A Varying-Parameter Recurrent Neural Network Combined With Penalty Function for Solving Constrained Multi-Criteria Optimization Scheme for Redundant Robot Manipulators
inferredcites →https://doi.org/10.1109/tac.2018.2810039openalex-snapshot
A New Varying-Parameter Convergent-Differential Neural-Network for Solving Time-Varying Convex QP Problem Constrained by Linear-Equality
inferredcites →https://doi.org/10.1109/tim.2022.3161713openalex-snapshot
New Varying-Parameter Recursive Neural Networks for Model-Free Kinematic Control of Redundant Manipulators With Limited Measurements
inferredcites →https://doi.org/10.1109/tmech.2017.2683561openalex-snapshot
Three Recurrent Neural Networks and Three Numerical Methods for Solving a Repetitive Motion Planning Scheme of Redundant Robot Manipulators
inferredcites →https://doi.org/10.1109/tnn.2005.857946openalex-snapshot
Design and Analysis of a General Recurrent Neural Network Model for Time-Varying Matrix Inversion
inferredcites →https://doi.org/10.1109/tnnls.2013.2238555openalex-snapshot
Common Nature of Learning Between Back-Propagation and Hopfield-Type Neural Networks for Generalized Matrix Inversion With Simplified Models
inferredcites →https://doi.org/10.1109/tnnls.2016.2516565openalex-snapshot
Distributed Recurrent Neural Networks for Cooperative Control of Manipulators: A Game-Theoretic Perspective
inferredcites →https://doi.org/10.1109/tnnls.2018.2803827openalex-snapshot
Adaptive Neural Control for Robotic Manipulators With Output Constraints and Uncertainties
inferredcites →https://doi.org/10.1109/tnnls.2021.3138900openalex-snapshot
Design and Analysis of a Self-Adaptive Zeroing Neural Network for Solving Time-Varying Quadratic Programming
inferredcites →https://doi.org/10.1109/tsmc.2017.2704278openalex-snapshot
Event-Triggered Strategy Design for Discrete-Time Nonlinear Quadratic Games With Disturbance Compensations: The Noncooperative Case
inferredcites →https://doi.org/10.2991/ijcis.d.200527.001openalex-snapshot
A Neural Network for Moore–Penrose Inverse of Time-Varying Complex-Valued Matrices
inferredcites →https://doi.org/10.3390/math10081208openalex-snapshot
Zeroing Neural Network for Pseudoinversion of an Arbitrary Time-Varying Matrix Based on Singular Value Decomposition
inferredcites →https://doi.org/10.4108/airo.v1i.17openalex-snapshot
Feedback Control Systems Stabilization Using a Bio-inspired Neural Network
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s11075-026-02452-2openalex-snapshot
Quaternion full-rank factorization algorithm with application to multi-scale color face recognition
inferred← citeshttps://doi.org/10.1007/s12215-025-01292-8openalex-snapshot
Local convergence of modified Potra–Pták like method in Banach spaces
inferred← citeshttps://doi.org/10.1016/j.amc.2023.128412openalex-snapshot
Zeroing neural network approaches for computing time-varying minimal rank outer inverse
inferred← citeshttps://doi.org/10.1016/j.amc.2026.130086openalex-snapshot
Dynamic portfolio optimization under uncertainty: A penalty-function-based neural solver
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.133565openalex-snapshot
Cooperative optimization of zeroing neural networks (ZNN) in dynamic systems: Evolution, advances, and applications
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.134749openalex-snapshot
A systematic review of zeroing neural networks: Modeling, analysis, and applications
inferred← citeshttps://doi.org/10.1016/j.neunet.2026.109026openalex-snapshot
Handling uncertainty in portfolio optimization: A neutrosophic logic adaptive neural network solver for quadratic programming
inferred← citeshttps://doi.org/10.3390/math11153354openalex-snapshot
Continuous and Discrete ZND Models with Aid of Eleven Instants for Complex QR Decomposition of Time-Varying Matrices
inferred← citeshttps://doi.org/10.3390/math12010015openalex-snapshot
Hermitian Solutions of the Quaternion Algebraic Riccati Equations through Zeroing Neural Networks with Application to Quadrotor Control
inferred← citeshttps://doi.org/10.3934/math.20231323openalex-snapshot
A novel quaternion linear matrix equation solver through zeroing neural networks with applications to acoustic source tracking
inferred← citeshttps://doi.org/10.3934/math.20231401openalex-snapshot
A quaternion Sylvester equation solver through noise-resilient zeroing neural networks with application to control the SFM chaotic system
inferred← citeshttps://doi.org/10.3934/math.2024281openalex-snapshot
Solving quaternion nonsymmetric algebraic Riccati equations through zeroing neural networks
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.