人工神经网络在建筑工程造价确定中的应用研究

Application of Artificial Neural Network to Determine the Construction Cost

本文通过BP神经网络对工程造价估算模型进行了构建,对神经网络进行样本训练,网络逼近能力取得了很好的效果,达到了对工程造价的快速估算的目的。本文还结合Vague集贴近度理论对工程总造价进行控制,通过工程实例对模型的可行性进行了分析,为建筑行业快速报价提供了理论依据。

In this paper, project cost estimation model was constructed through BP neural network, the sample training of the neural network was carried out, and the network approximation capability had achieved good results and the purpose of the project cost quick estimates was achieved. It also combined the theory of Vague set closeness for total project cost control and analyzed the feasibility of this model through engineering example, which provided a theoretical basis for the quick quote of construction industry.