ZNN models for computing matrix inverse based on hyperpower iterative methods
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Publication:5161728
DOI10.2298/FIL1710999SzbMath1499.65136OpenAlexW2793585789MaRDI QIDQ5161728
Ivan S. Živković, Predrag S. Stanimirović, Dimitrios Gerontitis, Igor Stojanović, Xue-Zhong Wang
Publication date: 1 November 2021
Published in: Filomat (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2298/fil1710999s
Numerical solutions to overdetermined systems, pseudoinverses (65F20) Learning and adaptive systems in artificial intelligence (68T05) Theory of matrix inversion and generalized inverses (15A09)
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Exploiting higher computational efficiency index for computing outer generalized inverses ⋮ Simulation of varying parameter recurrent neural network with application to matrix inversion ⋮ High-order error function designs to compute time-varying linear matrix equations ⋮ A higher-order zeroing neural network for pseudoinversion of an arbitrary time-varying matrix with applications to mobile object localization ⋮ Improved zeroing neural models based on two novel activation functions with exponential behavior ⋮ From Penrose equations to Zhang neural network, Getz-Marsden dynamic system, and DDD (direct derivative dynamics) using substitution technique
Uses Software
Cites Work
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