基于BP神经网络的高速公路工程造价估算模型研究

Research on Estimation Model of Highway Project Cost Based on BP Neural Network

工程项目前期造价的确定直接关系到整个项目的总体运作情况,因此准确的确定前期造价是非常重要的。目前工程中应用的投资估算编制方法不是很科学,采用BP神经网络方法改进投资估算的确定方法。结果表明,该方法可以有效的提高其编制精度,为科学的确定和有效的控制工程造价中全过程造价奠定了良好的工作基础。

The determination of engineering project prophase cost is directly related to general operation situation, therefore, it is very important to determine the prophase cost accurately. At present, the investment estimation method of project is unscientific. BP Neural Network Method is used in this paper to improve the invest- ment estimation method. The results show that the compilation precision is improved effectively by this method, and the foundation is laid for scientific determination and effective control of the whole-process cost.