Modelado basado en redes neuronales artificiales: Memoria de largo-corto plazo para la contaminación en Lima Metropolitana

Solis Teran, Miguel Angel

Modelado basado en redes neuronales artificiales: Memoria de largo-corto plazo para la contaminación en Lima Metropolitana

dc.contributor.advisor	López Gonzales, Javier Linkolk
dc.contributor.author	Solis Teran, Miguel Angel
dc.date.accessioned	2025-03-14T13:58:13Z
dc.date.available	2025-03-14T13:58:13Z
dc.date.embargoEnd	2027-02-24
dc.date.issued	2025-02-24
dc.description.abstract	Particulate matter (PM) is a mixture of fine dust and tiny droplets of liquid suspended in the air. PM10 are pollutant particles with a diameter of less than 10 micrometers. These particles are harmful to the respiratory system. The air quality in the region and capital Lima in the Republic of Peru has been investigated in recent years. In this context, statistical analyses of PM10 data with forecast models can contribute to planning actions that can improve air quality. The objective of this work is to perform a statistical analysis of the availablePM10 data and evaluate the quality of time series classical models and neural networks for short-term forecasting. The Box-Jenkins models showed the best performance for short-term forecasting compared to the neural network models considered.
dc.description.escuela	Escuela Profesional de Ingeniería de Sistemas
dc.description.lineadeinvestigacion	Inteligencia artificial
dc.description.sede	Lima
dc.format	application/pdf
dc.identifier.uri	http://repositorio.upeu.edu.pe/handle/20.500.12840/8559
dc.language.iso	eng
dc.publisher	Universidad Peruana Unión
dc.publisher.country	PE
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subject	Neural network
dc.subject	Modeling
dc.subject	Artificial intelligence
dc.subject.ocde	http://purl.org/pe-repo/ocde/ford#1.01.03
dc.title	Modelado basado en redes neuronales artificiales: Memoria de largo-corto plazo para la contaminación en Lima Metropolitana
dc.type	info:eu-repo/semantics/bachelorThesis
renati.advisor.dni	46071566
renati.advisor.orcid	https://orcid.org/0000-0003-0847-0552
renati.author.dni	70413580
renati.discipline	612076
renati.juror	Cuellar Rodriguez, Immer Elias
renati.juror	Asin Gomez, Fernando Manuel
renati.juror	Saboyay Ríos, Nemias
renati.juror	Orrego Granados, David Leandro
renati.juror	López Gonzales, Javier Linkolk
renati.level	http://purl.org/pe-repo/renati/nivel#tituloProfesional
renati.type	http://purl.org/pe-repo/renati/type#tesis
thesis.degree.discipline	Ingeniería de Sistemas
thesis.degree.grantor	Universidad Peruana Unión. Facultad de Ingeniería y Arquitectura
thesis.degree.name	Ingeniero de Sistemas