摘要
针对工程公司日常管理中由于缺乏风险评估工具,经常造成公司资源的浪费,甚至造成大量损失的现状,结合其行业特点,构建风险评价体系模型。在模型的基础上,提出一种基于广义回归神经网络(GRNN)的工程公司风险评估方法,通过矩阵实验室中的神经网络工具对其进行仿真计算,以某安防系统工程公司的实例证明了其有效性。该研究为同类型公司的风险评估提供了一种有效的管理工具。
Because of the lack of risk assessment tools for project contractors, often loss occurs in such companies. Some time, the loss may be great. To solve this problem, a risk assessment system for project contractors is built by analyzing their characteristics. By this system, the risk assessment is done by using generalized regression neural network （GRNN）. By using Matlab as tool, a case from a company of building security is given to demonstrate the effectiveness of the proposed approach.
出处
《工业工程》
北大核心
2011年第3期119-123,共5页
Industrial Engineering Journal
关键词
风险评估
广义回归神经网络
矩阵实验室
risk assessment
generalized regression neural network （GRNN）
matlab
