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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...
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| Published in: | Sensors (Basel) |
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| Main Authors: | , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
MDPI
2019
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6767331/ https://ncbi.nlm.nih.gov/pubmed/31527511 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19184002 |
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