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Revista Científica de la UCSA

On-line version ISSN 2409-8752


SCHWARZ, M. Neural networks for pattern recognition of fatal accidents in Peruvian miningindustry. Rev. ciente. UCSA [online]. 2017, vol.4, n.2, pp.6-12. ISSN 2409-8752.

The research proposes use neural networks for the recognition of nontraditional patterns in the prediction of fatal accidents in the Peruvian mining industry for which explores 6,568 reports and 239 Audits of the Ministry of Energy and Mines reported between2010-2015. There search concludes with anaccuracy error of 0.0761% the existence of non-traditional patterns such as operational complexity, work experience oravailability of equipment that have a high influence on accidentability and develops an instrument to predictit for academic and industrial purposes.

Keywords : Mining Safety; Risk Levels; Accident; Frequency Index; Severity Index; Accidentability Index.

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