An early warning method for agricultural products price spike based on artificial neural networks prediction

In general, the agricultural producing sector is affected by the diversity in supply, mostly from small companies, in addition to the rigidity of the demand, the territorial dispersion, the seasonality or the generation of employment related to the rural environment. These characteristics differenti...

Full description

Autores:

Silva, Jesús
Gaitán-Angulo, Mercedes
Romero Borré, Jenny
Lozano Ayarza, Liliana Patricia
Pineda Lezama, Omar Bonerge
Martínez Galán, Zuleima del Carmen
Navarro Beltran, Jorge

Tipo de recurso:

http://purl.org/coar/resource_type/c_816b

Fecha de publicación:

2020

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/6471

Acceso en línea:

https://hdl.handle.net/11323/6471
https://repositorio.cuc.edu.co/

Palabra clave:

Predictive model
Multilayer perceptron
Multiple input multiple output
Forecast
Support vector machines
Cyclic variation

Rights

openAccess

License

CC0 1.0 Universal