关键词: 造价估算, 大数据, 神经网络, 深度学习, 电力工程

Abstract: In order to realize an efficient and accurate cost estimation of power engineering project, a cost estimation method for power engineering project with big data is proposed based on a so-called Random Weighted Deep Neural Learning（RWDNL） algorithm. By means of building a multi-layer random weighted neural network with a small central layer, effective features are extracted from mass engineering data and power engineering project cost estimation is also realized by neural network deep learning. The experimental results demonstrate the outstanding performances of the proposed RWDNL method on estimation time consume and estimation accuracy, as well as its satisfactory generalization ability.

Key words: cost estimation, big data, neural network, deep learning, power engineering