A Novel Recurrent Neural Network-Based Ultra-Fast, Robust, and Scalable Solver for Inverting a “Time-Varying Matrix”
The concept presented in this paper is based on previous dynamical methods to realize a time-varying matrix inversion. It is essentially a set of coupled ordinary differential equations (ODEs) which does indeed constitute a recurrent neural network (RNN) model. The coupled ODEs constitute a universa...
Main Authors: | Vahid Tavakkoli, Jean Chamberlain Chedjou, Kyandoghere Kyamakya |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-09-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/18/4002 |
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