[1] Statistical analysis: Neural network prediction of small business competitiveness under a sustainable shorsupply chain business model for rooftop agriculture in a Bogotá neighborhood

Name: [1] Statistical analysis: Neural network prediction of small business competitiveness under a sustainable shorsupply chain business model for rooftop agriculture in a Bogotá neighborhood
Creator: Ana Julia Acevedo-Urquiaga
Published: 2025-10-29T16:31:06.290Z
Keywords: Statistics, Descriptive Statistics, Applied Statistics

Acevedo-Urquiaga, Ana Julia; Quintero Espinosa, Omar; Tamayo Álvarez, Paula Andrea; Revuelta Licea, Engels; Urquijo Rodriguez, Andres Felipe; Sablón Cossío, Neyde; Acevedo-Suárez, José Antonio

doi:10.17632/3cv39d8h72.1

[1] Statistical analysis: Neural network prediction of small business competitiveness under a sustainable shorsupply chain business model for rooftop agriculture in a Bogotá neighborhood

Published: 29 October 2025| Version 1 | DOI: 10.17632/3cv39d8h72.1

Contributors:

,

, Andres Felipe Urquijo Rodriguez,

,

Description

This dataset contains statistical information collected for the project [Neural network prediction of small business competitiveness under a sustainable short supply chain business model for rooftop agriculture in a Bogotá neighborhood]. The purpose of making this data available in Mendeley Data is to support research related to industrial engineering and its applications, promoting scientific reproducibility and open access to knowledge. The files are in [CSV, Excel, etc.] format.

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Escuela Colombiana De Carreras Industriales

[1] Statistical analysis: Neural network prediction of small business competitiveness under a sustainable shorsupply chain business model for rooftop agriculture in a Bogotá neighborhood

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