| 基于BP神经网络的住宅项目投资估算研究 |
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| 引用本文： | 让兴燕,李海凌,赵邱旭,彭会根. 基于BP神经网络的住宅项目投资估算研究[J]. 工程造价管理, 2021, 0(1): 18-24 |
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| 作者姓名： | 让兴燕 李海凌 赵邱旭 彭会根 |
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| 作者单位： | 西华大学土木建筑与环境学院;中电建建筑集团第一工程有限公司 |
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| 摘 要： | 在建设项目投资估算编制过程中,往往得不到具体的图纸信息,这样的信息残缺为建设单位编制和审定投资估算带来了困难,为后期招标控制价的编制提出了挑战.文章通过Python机器学习语法建立BP神经网络模型,按同一标准,选取508个随机住宅工程样本作为建筑工程数据来源,根据其建筑地上层数、地下层数、檐高、建筑面积四项指标对其建筑...
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| 关 键 词： | Python TensorFlow BP神经网络 住宅工程 造价估算 |
Research on Investment Estimation of Residential Project Based on BP Neural Network |
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| Rang Xingyan,Li Hailing,Zhao Qiuxu,Peng Huigen. Research on Investment Estimation of Residential Project Based on BP Neural Network[J]. , 2021, 0(1): 18-24 |
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| Authors: | Rang Xingyan Li Hailing Zhao Qiuxu Peng Huigen |
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| Affiliation: | (Xihua University,Chengdu 610039,China;PowerChina Construction Group LTD,Beijing 100032,China) |
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| Abstract: | This paper establish BP neural network model by Python grammar.According to the same standard,select 508 residential constructions as the data source of construction engineering.According to the up-ground floor number,underground floor number,height and building area,carrying out the construction engineering cost,decoration engineering cost and installation engineering cost.Finally,through the empirical analysis,proving the efficient of the model. |
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| Keywords: | Python TensorFlow BP neural network Construction Cost |
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