| 基于模糊神经网络的电厂建设项目成功度后评价实证研究 |
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| 引用本文： | 黄元生,刘庆超,邱自龙.基于模糊神经网络的电厂建设项目成功度后评价实证研究[J].技术经济,2009,28(3):58-61,123. |
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| 作者姓名： | 黄元生 刘庆超 邱自龙 |
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| 作者单位： | 华北电力大学,经济管理系,河北,保定,071003 |
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| 摘 要： | 根据电力工程的特点以及三门峡发电有限公司的实际情况,构建了项目成功度后评价指标体系,并确定了标准值;提出了运用模糊神经网络对电厂建设项目成功度后评价的方法,采用相对隶属度对成功度指标值及评价标准进行模糊处理,然后通过BP神经网络进行评价,以提高结果的精确度。最后,对三门峡发电有限责任公司2×600MW机组的项目成功度进行后评价,结果合理准确。
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| 关 键 词： | 电厂建设项目 BP神经网络 成功度评价 电力工程后评价 三门峡发电有限公司 |
Empirical Study on Post-evaluation of Success Degree of Power Plant Construction Project Based on Fuzzy Neural Network |
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| Huang Yuansheng,Liu Qingchao,Qiu Zilong.Empirical Study on Post-evaluation of Success Degree of Power Plant Construction Project Based on Fuzzy Neural Network[J].Technology Economics,2009,28(3):58-61,123. |
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| Authors: | Huang Yuansheng Liu Qingchao Qiu Zilong |
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| Institution: | Department of Economics and Management;North China Electric Power University;Baoding Hebei 071003;China |
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| Abstract: | According to the characteristics of power engineering and the situation of Sanmenxia Power Generation Limited Company,this paper constructs the post-evaluation index system of success degree of project,and gives the standard value.It uses the fuzzy neural network to make the post-evaluation of success degree of power plant construction project,and fuzzily processes the value of success degree and the evaluation standard by adopting the relative membership degree to obtain accurate results.Finally,it evaluat... |
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| Keywords: | construction project of power plant BP neural network success degree evaluation power engineering post-evaluation Sanmenxia Power Generation Limited Company |
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