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Quota Making of Super-Long Highway Tunnel Based on BP Neural Network

机译:基于BP神经网络的超长公路隧道定额编制。

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摘要

In construction of super-long highway tunnel, because adopted some new construction method, such as center bore method, quota of it was very difficult. By BP neural network, a new quota-making method of super-long highway tunnel was put forward. Through a great many of training of data samples, quota is more related with actual consumption and it can be dynamically adjusted. The method was successfully used in quota-making of Zhonglanshan tunnel in Qinling Mountains. Compared with coal quota method, it was more accurate.
机译:在特长公路隧道的建设中,由于采用了中心孔法等新的施工方法,因此很难进行定额。利用BP神经网络,提出了超长公路隧道定额的新方法。通过大量的数据样本训练,配额与实际消耗量之间的关系更大,并且可以动态调整配额。该方法已成功用于秦岭中兰山隧道定额编制。与煤炭定额方法相比,它更准确。

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