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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| 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 |