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Recolector de Ciencia Abierta, RECOLECTA
Bachelor thesis . 2021
License: CC BY NC ND
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Recolector de Ciencia Abierta, RECOLECTA
Bachelor thesis . 2022
License: CC BY NC ND
GREDOS
Bachelor thesis . 2021
License: CC BY NC ND
Data sources: GREDOS
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Aplicaci?n de las redes neuronales artificiales al covid-19

Authors: Cabanillas del Estal, Tamara;

Aplicaci?n de las redes neuronales artificiales al covid-19

Abstract

[ES]El trabajo consta de dos partes: La primera parte abarca los cap?tulos 2, 3 y 4 que se centran en la explicaci?n te?rica de las redes neuronales artificiales (rna), en qu? se inspiran, qu? forma y distribuci?n tienen, cu?les son sus caracter?sticas y c?mo funcionan algunas de las redes m?s importantes. La segunda parte abarca los cap?tulos 5 y 6 que se centran en la parte experimental del trabajo, se da una breve explicaci?n de qu? es el covid-19 y luego se usa una de las redes estudiadas en la primera parte para predecir el avance de la enfermedad en distintos campos. Para ello se han recogido datos del covid-19 desde el 14 de marzo de 2020 al 30 de abril de 2021 de todas las provincias de la comunidad de castilla y le?n. Finalmente se detallan las conclusiones, las l?neas futuras de investigaci?n y la bibliograf?a utilizada.

[EN]The job consists of two parts: The first part covers chapters 2, 3 and 4 which focus on the theoretical explanation of articial neu ronal networks (ann), what they are inspired, what form and distribution they have, what are their characteristics and how they work. Of the most important networks. The second part covers chapters 5 and 6 which focus on the experimental part of the work, a brief expla nation is given of what covid-19 is and then one of the networks studied in the first part is used to pre dict the progress of the disease in different fields. For this, data on covid-19 has been collected from march 14, 2020 to april 30, 2021 of all the provinces of the community of castilla y le?n. Finally, the conclusions, the future lines of research and the bibliography used are detailed

Trabajo Fin de Grado. Grado en matem?ticas. Curso acad?mico 2020-2021.

Country
Spain
Related Organizations
Keywords

Perceptrón multicapa, spss, Artificial neural networks, 12 Matemáticas, 1209 Estadística, 1209 Estad?stica, COVID-19, perceptrón multicapa, covid-19, Redes neuronales artificiales, 12 Matem?ticas, Multilayer perceptron, multilayer perceptron, Perceptr?n multicapa, artificial neural networks, SPSS

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green