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PREDICCIÓN EN R A TRAVÉS DE REDES NEURONALES ARTIFICIALES

Authors: Jordán Expósito, Manuel Jesús;

PREDICCIÓN EN R A TRAVÉS DE REDES NEURONALES ARTIFICIALES

Abstract

[ES] El objetivo principal a alcanzar con la elaboración de este proyecto es lograr predecir la propagación del virus del Nilo Occidental, el cual puede llegar a ser mortal causando una enfermedad mortal del sistema nervioso. Uno de los medios principales de propagación de esta enfermedad es a través de mosquitos infectados y se pretende estudiar cómo se propagan y transmiten el virus a través de la ciudad de Chicago en Estados Unidos, teniendo en cuenta distintas variables como son las climáticas. Para llevar esto a cabo se aplicará, a través de R, un modelo de Redes Neuronales Artificiales con el que se pretende predecir, bajo aprendizaje previo de dicha Red Neuronal con todos los datos de los que se dispone, cómo se propagará dicho mosquito y por ende el virus del Nilo Occidental a través de Chicago

[EN] The main objective to achieve with this project is to reach a prediction of the spread of West Nile virus, which can become deadly causing a deadly disease of the nervous system. One of the main ways of propagation of this disease is through infected mosquitoes and is intended to study how the virus is spread and transmitted through the city of Chicago in the United States, taking into consideration different variables such as climate. To carry this out, a model of Artificial Neural Networks will be applied through R to predict, under previous learning of said Neural Network with all available data, how the said mosquito will propagate and thus West Nile virus through Chicago

Keywords

3304.11, Computing systems design, Diseño de sistemas de cálculo

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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