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Computing Time-Varying ML-Weighted Pseudoinverse by the Zhang Neural Networks

https://doi.org/10.1080/01630563.2020.1740887

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Artificial Intelligence: Methodology, Systems, and Applications

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MATLAB Simulation of Gradient-Based Neural Network for Online Matrix Inversion

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University of Wisconsin at Madison

inferredcites →https://doi.org/10.1007/bf01934412openalex-snapshot

A weighted pseudoinverse, generalized singular values, and constrained least squares problems

inferredcites →https://doi.org/10.1007/bf01935652openalex-snapshot

Structures and uniqueness conditions of MK-weighted pseudoinverses

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Report on test matrices for generalized inverses

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/10.1016/j.asoc.2015.11.023openalex-snapshot

A nonlinearly-activated neurodynamic model and its finite-time solution to equality-constrained quadratic optimization with nonstationary coefficients

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Finite-time solution to nonlinear equation using recurrent neural dynamics with a specially-constructed activation function

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

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A nonlinearly activated neural dynamics and its finite-time solution to time-varying nonlinear equation

inferredcites →https://doi.org/10.1016/j.neucom.2016.02.021openalex-snapshot

A convergence-accelerated Zhang neural network and its solution application to Lyapunov equation

inferredcites →https://doi.org/10.1016/s0096-3003(99)00147-2openalex-snapshot

Recurrent neural networks for computing weighted Moore–Penrose inverse

inferredcites →https://doi.org/10.1049/el:20081928openalex-snapshot

Global exponential convergence and stability of Wang neural network for solving online linear equations

inferredcites →https://doi.org/10.1057/jors.1972.96openalex-snapshot

Generalized Inverse of Matrices and its Applications

inferredcites →https://doi.org/10.1109/.2005.1467221openalex-snapshot

Revisit the Analog Computer and Gradient-Based Neural System for Matrix Inversion

inferredcites →https://doi.org/10.1109/tnn.2002.1000129openalex-snapshot

Global exponential stability of recurrent neural networks for synthesizing linear feedback control systems via pole assignment

inferredcites →https://doi.org/10.1109/tnn.2002.1031938openalex-snapshot

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

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.2013.2271779openalex-snapshot

Different Complex ZFs Leading to Different Complex ZNN Models for Time-Varying Complex Generalized Inverse Matrices

inferredcites →https://doi.org/10.1134/s0965542509080016openalex-snapshot

Weighted pseudoinverses and weighted normal pseudosolutions with singular weights

inferredcites →https://doi.org/10.1137/s0895479898336306openalex-snapshot

Upper Perturbation Bounds of Weighted Projections, Weighted and Constrained Least Squares Problems

inferredcites →https://doi.org/10.1162/neco_a_00821openalex-snapshot

Recurrent Neural Network for Computing Outer Inverse

inferredcites →https://doi.org/10.1162/neco_a_00866openalex-snapshot

Complex Neural Network Models for Time-Varying Drazin Inverse

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Zeroing neural network approaches for computing time-varying minimal rank outer inverse

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Dynamic portfolio optimization under uncertainty: A penalty-function-based neural solver

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An innovative neutrosophic logic adaptive high-order zeroing neural network for solving linear matrix equations: Applications to acoustic source tracking

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Pseudoinversion through an innovative finite-time neutrosophic logic activated zeroing neural network: Applications to robotic motion tracking

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Unifying the Moore-Penrose conditions: A non-singular zeroing neural network with neutrosophic self-adaptive integration

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Dynamic Approaches for Finding Least Squares Solution of Time-Varying Multi-Linear Systems

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Zeroing Neural Network With Fuzzy Parameter for Computing Pseudoinverse of Arbitrary Matrix

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A Zeroing Neural Network Approach for Calculating Time-Varying G-Outer Inverse of Arbitrary Matrix

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Definition of Complex One‐Parameter Generalized Moore–Penrose Inverses Using Differential Transformations

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Conditioning Theory for ML-Weighted Pseudoinverse and ML-Weighted Least Squares Problem

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Simultaneous Method for Solving Certain Systems of Matrix Equations with Two Unknowns

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Computation of Time-Varying {2,3}- and {2,4}-Inverses through Zeroing Neural Networks

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Time-Varying Pseudoinversion Based on Full-Rank Decomposition and Zeroing Neural Networks

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Towards Higher-Order Zeroing Neural Networks for Calculating Quaternion Matrix Inverse with Application to Robotic Motion Tracking

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A novel quaternion linear matrix equation solver through zeroing neural networks with applications to acoustic source tracking

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