论文标题
复杂风险统计与方案分析
Complex risk statistics with scenario analysis
论文作者
论文摘要
复杂的风险是智能系统和风险管理的关键因素。在本文中，我们考虑了一种特殊的风险统计数据，称为复杂风险统计。我们的结果为解决复杂的风险提供了一种新的方法，尤其是在深层神经网络中。通过进一步开发与复杂风险统计相关的属性，我们能够为这种风险得出双重表示。
Complex risk is a critical factor for both intelligent systems and risk management. In this paper, we consider a special class of risk statistics, named complex risk statistics. Our result provides a new approach for addressing complex risk, especially in deep neural networks. By further developing the properties related to complex risk statistics, we are able to derive dual representation for such risk.
