Modelos de aprendizaje computacional para la predicci´on de siniestralidad vial en Bogotá D.C

Currently road accidents are a problem that negatively worsens the socioeconomic environment of any country or city, which is why all governments seek feasible solutions that allow them to reduce the risk of mortality and accidents. The solutions that many governments have implemented are based on t...

Full description

Autores:
Castellanos Cardozo, Sebastian Rodrigo
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2023
Institución:
Universidad Antonio Nariño
Repositorio:
Repositorio UAN
Idioma:
spa
OAI Identifier:
oai:repositorio.uan.edu.co:123456789/8949
Acceso en línea:
http://repositorio.uan.edu.co/handle/123456789/8949
Palabra clave:
Aprendizaje automático
Modelos de predicción
Siniestralidad vial
Redes neuronales
Bosques aleatorios
Machine learning
Prediction models
road accident rate
Neural networks
Random forests
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)