Using the Stochastic Gradient Descent Optimization Algorithm on Estimating of Reactivity Ratios

This paper describes an improved method of calculating reactivity ratios by applying the neuronal networks optimization algorithm, named gradient descent. The presented method is integral and has been compared to the following existing methods: Fineman–Ross, Tidwell–Mortimer, Kelen–Tüdös, extended K...

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Detalles Bibliográficos
Autores principales: Fazakas-Anca, Iosif Sorin, Modrea, Arina, Vlase, Sorin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8400145/
https://www.ncbi.nlm.nih.gov/pubmed/34443284
http://dx.doi.org/10.3390/ma14164764

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8400145/
https://www.ncbi.nlm.nih.gov/pubmed/34443284
http://dx.doi.org/10.3390/ma14164764

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