基于Rough集理论和神经网络的威胁判断模型

Threat Estimation model Based on Rough set theory and Neural Network

Rough set 理论已经在机器学习、从数据库中发现知识、决策支持和分析等方面得到了广泛应用。建立目标威胁模型,首先要挑选特征参数,这里采用知识约简方法选择目标的特征参数;利用神经网络理论建立了威胁模型,目标的威胁程度与特征参数的关系可通过神经网络的阀值和权值得到体现,实例表明该方法简单可行。

Rough set theory has been widely applied in machine learning knowledge discovery from databases and decision support and analysis etc.How to select the character parameters of target is the first place.The character parameters of target are selected based on reduction of knowledge.A threat estimation model is established by using neural network theory.The relationship among threat estimation with characteristic parameters is described through threshold and weight of neural networks.The method is illustrated...