Colombian Coffee Price Forecast via LSTM Neural Networks

This work deals with the contributions Machine Learning techniques can bring into the coffee growing conglomerate, committees and other points in the production and marketing chain involved in the dynamics of this commodity. It is well known that the different variables that interact with prices bot...

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Autores:
Herrera Jaramillo, Yoe Alexander
Ortega Giraldo, Johana C.
Acevedo Amorocho, Alejandro
Prada Marín, Duwamg Alexis
Tipo de recurso:
Part of book
Fecha de publicación:
2021
Institución:
Tecnológico de Antioquia
Repositorio:
Repositorio Tdea
Idioma:
eng
OAI Identifier:
oai:dspace.tdea.edu.co:tdea/3958
Acceso en línea:
https://dspace.tdea.edu.co/handle/tdea/3958
Palabra clave:
Aprendizado de máquina
Café
Coffee
Precios
Prix
Prices
Preço
Machine learning
Aprendizaje automático
Apprentissage machine
Neural Networks, Computer
Redes Neurais de Computação
Redes Neurales de la Computación
Rights
closedAccess
License
http://purl.org/coar/access_right/c_14cb