Double Accelerated Convergence ZNN with Noise-Suppression for Handling Dynamic Matrix Inversion

Double Accelerated Convergence ZNN with Noise-Suppression for Handling Dynamic Matrix Inversion

Matrix inversion is commonly encountered in the field of mathematics. Therefore, many methods, including zeroing neural network (ZNN), are proposed to solve matrix inversion. Despite conventional fixed-parameter ZNN (FPZNN), which can successfully address the matrix inversion problem, it may focus o...

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Bibliographic Details
Main Authors: Yongjun He, Bolin Liao, Lin Xiao, Luyang Han, Xiao Xiao
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Mathematics
Subjects:
zeroing neural network (ZNN)
double accelerated convergence
dynamic matrix inversion problem
exponential decay variable parameters
noise-suppression
arbitrary time convergence
Online Access:https://www.mdpi.com/2227-7390/10/1/50

Internet

https://www.mdpi.com/2227-7390/10/1/50

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