Sale forecast for basic commodities based on artificial neural networks prediction

The objective of this paper is to carry out the comparison and selection of a method to forecast sales of basic food products efficiently. The source of data comes from a set of popular markets in the main departments of Colombia. The methods and methodologies used are: Hold Method, Winters, the Box...

Full description

Autores:

silva d, jesus g
Jesús Vargas Villa
Cabrera, Danelys

Tipo de recurso:

http://purl.org/coar/resource_type/c_f744

Fecha de publicación:

2019

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/5129

Acceso en línea:

https://hdl.handle.net/11323/5129
https://repositorio.cuc.edu.co/

Palabra clave:

Artificial Neural Networks (ANN)
Commodities
Sales forecast

Rights

openAccess

License

CC0 1.0 Universal