| Application of project cost forecasting with data mining and neural network technologies for power engineering |
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| 作者姓名： | LI Yong ming WANG Yu bin WANG Ying and DUAN Hui qing |
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| 作者单位： | State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400030, P.R. China;State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400030, P.R. China;State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400030, P.R. China;State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400030, P.R. China |
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| 摘 要： | A model based on data mining technology and neural network theory was put forward to forecast and censor complicated engineering problems. Data mining technology was applied to normalize the real data, feature selection and clustering, which generates fuzzy rules. A forecasting model of engineering cost was constructed by using an improved back propagation(BP) neural network fuzzy system. A good calculation result was obtained by analyzing the history project training and example samples of a city. The result demonstrates the accuracy and stringency of this method and the validity and practicability of this model for forecasting and censoring complicated engineering problems.
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| 关 键 词： | data mining neural networks project cost for power engineering； forecasting |
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