现代电子技术2018，Vol.41Issue(4)：157-160,4.DOI:10.16652/j.issn.1004-373x.2018.04.040
基于数据挖掘技术的输电工程造价预测模型的建立与实现
Establishment and implementation of power transmission project′s cost forecast model based on data mining technology
耿鹏云 1安磊 1王鑫2
作者信息
- 1. 国网冀北电力有限公司 经济技术研究院,北京100038
- 2. 国网冀北电力有限公司 建设部,北京100053
- 折叠
摘要
Abstract
As there are too many cost technical indicators and complicated influencing factors in the current power transmis-sion project,it is difficult to evaluate the cost of power transmission project and achieve the desired effect of budget review. Therefore,a cost forecast model for power transmission and transformation project based on data mining technology is estab-lished. The data mining technology is used in the model to judge the impact level of different engineering technical indicators on project cost,with which the wrong,abnormal or unreasonable data can be automatically queried,the impact of human factors can be reduced,and the sample learning of the sample data can be performed by means of support vector machine. The test re-sults show that the forecasting results of the model have low relative error,and the model can accurately predict the cost of pow-er transmission and transformation project,which have a certain reference value for other cost budgets.关键词
数据挖掘/输电工程/造价预测模型/支持向量机/样本学习/概算审查Key words
data mining/power transmission project/cost forecast model/support vector machine/sample learning/bud-get review分类
信息技术与安全科学引用本文复制引用
耿鹏云,安磊,王鑫..基于数据挖掘技术的输电工程造价预测模型的建立与实现[J].现代电子技术,2018,41(4):157-160,4.
