Early warning method for the commodity prices based on artificial neural networks: SMEs case

Applications based on Artificial Neural Networks (ANN) have been developed thanks to the advance of the technological progress which has permitted the development of sales forecasting on consumer products, improving the accuracy of traditional forecasting systems. The present study compares the perf...

Full description

Autores:

Silva, Jesus
MOJICA HERAZO, JULIO CESAR
Rojas Millán, Rafael Humberto
Pineda Lezama, Omar Bonerge
Morgado Gamero, W.B.
Varela Izquierdo, Noel

Tipo de recurso:

Article of journal

Fecha de publicación:

2019

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/4840

Acceso en línea:

http://hdl.handle.net/11323/4840
https://repositorio.cuc.edu.co/

Palabra clave:

predictive model
Multilayer Perceptron
Multiple input multiple output
Forecast
Support vector machines
Cyclic variation

Rights

openAccess

License

Attribution-NonCommercial-NoDerivatives 4.0 International