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...
- 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
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| dc.title.spa.fl_str_mv |
Sale forecast for basic commodities based on artificial neural networks prediction |
| title |
Sale forecast for basic commodities based on artificial neural networks prediction |
| spellingShingle |
Sale forecast for basic commodities based on artificial neural networks prediction Artificial Neural Networks (ANN) Commodities Sales forecast |
| title_short |
Sale forecast for basic commodities based on artificial neural networks prediction |
| title_full |
Sale forecast for basic commodities based on artificial neural networks prediction |
| title_fullStr |
Sale forecast for basic commodities based on artificial neural networks prediction |
| title_full_unstemmed |
Sale forecast for basic commodities based on artificial neural networks prediction |
| title_sort |
Sale forecast for basic commodities based on artificial neural networks prediction |
| dc.creator.fl_str_mv |
silva d, jesus g Jesús Vargas Villa Cabrera, Danelys |
| dc.contributor.author.spa.fl_str_mv |
silva d, jesus g Jesús Vargas Villa Cabrera, Danelys |
| dc.subject.spa.fl_str_mv |
Artificial Neural Networks (ANN) Commodities Sales forecast |
| topic |
Artificial Neural Networks (ANN) Commodities Sales forecast |
| description |
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 Jenkins methodology (ARIMA) and an Artificial Neural Network. The results show that the artificial neural network obtained a better performance achieving the lowest mean square error. |
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2019 |
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2019-07-31T22:45:24Z |
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2019-07-31T22:45:24Z |
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2020 |
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https://hdl.handle.net/11323/5129 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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https://repositorio.cuc.edu.co/ |
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Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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eng |
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eng |
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10.1007/978-3-030-23887-2_5 |
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CC0 1.0 Universal |
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http://creativecommons.org/publicdomain/zero/1.0/ |
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Universidad de la Costa |
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Corporación Universidad de la Costa |
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silva d, jesus gJesús Vargas VillaCabrera, Danelys2019-07-31T22:45:24Z2019-07-31T22:45:24Z2020https://hdl.handle.net/11323/5129Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/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 Jenkins methodology (ARIMA) and an Artificial Neural Network. 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