基本竞争型神经网络在工伤保险差别费率确定中的应用

Application of basic competitive artificial neural network in the study on the industry discrimination rate of the occupational injury

合理的行业差别费率,对于工伤预防、降低工伤事故具有重要作用。行业差别费率是按照不同行业发生伤亡事故和职业病危害的不同规定不同的缴费标准。应用基本竞争型人工神经网络对行业风险进行等级划分,针对工伤数据关系具有复杂性、非线性性的特点,为行业工伤保险差别费率的厘定提供一种新方法。

The differential premium rates for different industries,plays an important role in the injury prevention,reduce the accident. The differential premium rates for different industries is different according to different payment standards stipulated in different sectors of casualty accidents and occupation disease harm. The basic competition using artificial neural network for classification of industry risk,according to the relationship between industrial data has the characteristics of complexity,nonlinearity,which provides a new method for the determination of industry injury insurance premium.