基于BP神经网络的水电工程定额编制模型研究

水电建筑工程市场的快速发展对水电工程定额提出了实时、准确、高效的要求,而当前主流的传统定额编制方法已经不能满足市场需求,寻求一种快速有效的定额编制方法迫在眉睫。针对水电工程定额编制中存在的问题,运用BP神经网络理论,建立水电工程定额消耗量与其影响因素之间的BP神经网络算法模型,通过已知的有限样本数量预测出未知消耗量,并以实例验证了此方法的可行性。该方法的应用极大简化了定额的编制工作。

Hydropower projects quota preparing model based on BP neural network

The rapid development of hydropower construction and engineering market calls for real-time, accurate and efficient project quota preparing, but the prevailing traditional quota establishment method is unable to meet the market demands, it is highly urgent to seek a fast and efficient quota establishment method. According to the problems in current quota establishment, a preparing model based on BP network is established, by the BP network the model can give the mapping between the quota consumption and its contributory factors. The unknown consumption is projected through the given quantity of the limited samples. The feasibility of the method is verified by practical examples. The application of the method significantly simplifies the quota preparing process.