A Hybrid Neural System to Study the Interplay between Economic Crisis and Workplace Accidents in Spain

Sonia Contreras (Universidad de Burgos, Spain)

Miguel Ángel Manzanedo (Universidad de Burgos, Spain)

Álvaro Herrero (Universidad de Burgos, Spain)

Abstract: Workplace accident rates are always a constant source of concern in different scenarios. On the other hand, different economic cycles modify employment indicators, thereby affecting both the health and the wellbeing of workers. In this study, a Hybrid Neural System is proposed to support the analysis of both workplace accidents and different macroeconomic variables. The application of exploratory projection and nonlinear autoregressive models allow us to recognize patterns and subsequently study the interplay between the two fields, providing valuable information, so that directors can take more informed management decisions.

Keywords: artificial neural networks, economic crisis, exploratory projection, nonlinear autoregressive, workplace accidents, workplace health and safety

Categories: I.2.6, I.5.1, I.5.4