基于BP网络的大型水电项目投资估算模型研究

The Cost Estimation Research for Large-sized Hydropower Project Based on the BP Neural Network

本文综合分析了大型水电工程的主要特征,并将这些特征和它的工程造价联系起来,构建了基于BP神经网络的水电工程造价估算模型。在模型的实现上,利用MATLAB语言对模型进行了训练、仿真和测试,并用工程实例对模型进行了验证,结果表明该模型具有较好的泛化能力,能够较准确地估算工程造价。

The main characteristics of large-sized hydropower project are analyzed, and these characteristics is connected with its engineering cost, based on BP neural network of hydropower project cost estimation model is constructed. In the model, MATLAB language is trained, simulated and tested to the realization of model, and engineering examples are validated the model. The results show that the model has better generalization abilities able to accurately estimate of the project cost.