| 基于ANN的电力工程造价预测 |
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| 引用本文： | 应强,谭颖,赤鹏军.基于ANN的电力工程造价预测[J].江西电力职业技术学院学报,2011,24(4):21-23,93. |
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| 作者姓名： | 应强 谭颖 赤鹏军 |
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| 作者单位： | 1. 江西省南昌县供电公司,江西 南昌,330200
2. 陆军航空兵学院,北京,101123 |
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| 摘 要： | 为了对新的电力工程进行造价预测与估算,采用人工神经网络(ANN)的机器学习与预测能力,通过分析电力工程造价的影响因素,并将这些影响数据归一化预处理后作为ANN的输入,用历史电力工程造价数据对ANN进行训练,并采用训练后的ANN对新的电力工程进行造价预测.多个电力工程造价预测结果表明,ANN的造价预测结果与实际造价的误差...
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| 关 键 词： | 电力工程 预测模型 机器学习 ANN |
ANN Based Power Engineering Cost Forecast |
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| YING Qiang
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TAN Ying
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CHI Peng-jun.ANN Based Power Engineering Cost Forecast[J].Journal of Jiangxi Vocational and Technical College of Electricity,2011,24(4):21-23,93. |
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| Authors: | YING Qiang TAN Ying CHI Peng-jun |
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| Institution: | 1.Electric Company of Nanchang County of Jiangxi Province,Nanchang 330200,China;2.Army Aviation Institute of the PLA,Beijing 101123,China) |
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| Abstract: | In order to forecast the cost of new power engineering,an ANN based power engineering cost forecast method is proposed.All the facts that are influential to power engineering cost are analyzed,and the influential data after normalization processed are used as the input of ANN.The historical power engineering cost data are used to train the ANN,and the trained ANN is used to forecast other new power engineering’s cost.It was shown from several cost forecast experiment that the error between the forecasted cost and the actual cost is less than 5%,which is acceptable from the engineers′view. |
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| Keywords: | power engineering forecast model machine learning ANN |
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