MATLAB和DELPHI混合编程在风险评价数学模型中的应用

Application of Joint Programming to Mathematic Model of Risk Evaluation on MATLAB and DELPHI

该文以神经网络数学模型为基础,对项目风险评价进行了研究。文章论述了BP神经网络能准确、快捷地评价项目风险,有较强的实用性;但其数学模型较为繁琐,为提高效率和质量,利用OLE接口,实现了在DELPHI中调用MATLAB神经网络工具箱。

In this paper, the method of evaluation of project investment risk based on BP neural network is studied. BP neural network is able to evaluate project investment risk exactly and speedly, but the model is complicated. MATLAB neural network toolbox is used to improve the efficiency and quallty, and a joint program on DELPHI is designed by using the OLE automation.