Data Science:

Applied research on COSMO ASTRAL's accidents in the construction sector in Honduras through the design of artificial intelligence neural networks and their use to support preventive decision-making processes.

Authors

  • Roberto Enrique Chang López Universidad Tecnológica de Honduras: Tegucigalpa , Francisco Morazán, HN
  • Emma Anabel Morales
  • Juan Carlos Chávez
  • Kelvin Nahún Hernández
  • Krystal Pamela Salgado
  • Victor Manuel Banegas

Keywords:

INTELLIGENCE, NETWORKS, FORECASTING

Abstract

The main purpose of this research is to combine two techniques used in the construction of intelligent systems, through the use of the Alyuda Forecaster XL software and the SPSS statistical analysis software in order to create a neural network to reduce occupational accidents that may occur in the different projects of the company COSMO ASTRAL, depending on the factors considered critical of SPSS. Regarding the use of the Alyuda Forecaster software, forecasts of possible accidents were made taking as a source of information the database of the study carried out with the company's collaborators.

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Published

2019-12-01

How to Cite

Chang López, R. E., Morales, E. A., Chávez, J. C., Nahún Hernández, K. ., Salgado, K. . P., & Banegas, V. M. (2019). Data Science:: Applied research on COSMO ASTRAL’s accidents in the construction sector in Honduras through the design of artificial intelligence neural networks and their use to support preventive decision-making processes. Revista Centroamericana De Administración Pública, (77), 32–44. Retrieved from https://ojs.icap.ac.cr/index.php/RCAP/article/view/117

Issue

No. 77 (2019): Changing the way governments operate

Section

Artículos