| 摘要 |
Safety accidents of household electrical appliances have been emerging in recent years, which made some scholars begin to study from the safety of industrial electrical appliances to household electrical appliances. In view of the small sample data, this paper combines the latest depth learning method-gcForest to study the relationship between the model of "human-environment-usage-possible injuries" in household electrical appliance safety accidents and predict possible damages according to the factor such as human, environment and usages. This paper aims to decrease the household electrical appliances security risks in the daily life and guide manufacturers to a avoid domestic appliances damage in the right direction. |