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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Detalles Bibliográficos
Autores principales: Tavakkoli, Vahid, Chedjou, Jean Chamberlain, Kyamakya, Kyandoghere
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767331/
https://www.ncbi.nlm.nih.gov/pubmed/31527511
http://dx.doi.org/10.3390/s19184002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767331/
https://www.ncbi.nlm.nih.gov/pubmed/31527511
http://dx.doi.org/10.3390/s19184002

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