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Classification of individual injuries for forecasting

Frolova Evgeniya Aleksandrovna  (East Siberian branch of JSC Kaluga Plant Remputmash, Slyudyanka, Irkutsk region; Postgraduate, Baikal State University (BGU), Irkutsk)

Today, industrial injuries occupy a special place in the production cycle of enterprises of the Russian Federation. Not so long ago in enterprises began to read risks of industrial injuries. How everyone decides themselves, but there is no concrete approach to it. Scientific research related to the prediction of accidents in enterprises will solve this problem. In order to solve the problem, the previous article [1] addressed the relationship between factors. A close link was established between age and work experience. In this article we will classify accidents. In order to predict industrial injuries, accident classification will be carried out with the power of neural networks. As a result of the study we will get a classification, which in the future will be used to build a forecast of industrial injuries. The data obtained are confirmed by statistics of industrial injuries of private enterprises of the Russian Federation.

Keywords:forecasting, industrial injuries, factors, classification.
 

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Citation link:
Frolova E. A. Classification of individual injuries for forecasting // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2020. -№07. -С. 167-172 DOI 10.37882/2223-2966.2020.07.37
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