基于BP神经网络的火电厂技改项目成功度后评价研究  

Study on Post-Evaluation for Success-Degree of Power Plant Technological Transformation Projects Based on BPNN

作　　者：李欣[1] 刘崇明[1] 陈运辉[1] 

机构地区：[1]华北电力大学经济与管理学院,北京102206

出　　处：《华东电力》2010年第9期1432-1435,共4页East China Electric Power

基　　金：国家自然科学基金对外交流与合作项目(70810024)~~

摘　　要：根据火电厂技改项目的特点和项目后评价的内容,构建了火电厂技改项目成功度后评价指标体系;利用附加动量法对标准的BP神经网络算法进行了改进,并建立了基于改进的BP神经网络评价模型;通过实证进行评价分析,结果表明利用BP神经网络方法评价火电厂技改项目成功度是可行的。According to the characteristics of power plant technological transformation projects and the contents of project post-evaluation,the evaluation indicator system for the success degree of power plant technological transformation projects was established.The traditional BP neural network（BPNN） calculation method was improved using the law of additional momentum and the evaluation model was established with the improved BPNN.The result of instance analysis proved the validity of this method for evaluating the success degree of the power plant technological transformation projects.

关 键 词：火电厂 技术改造 成功度评价 BP神经网络 

分 类 号：F28[经济管理—国民经济] TP183[自动化与计算机技术—控制理论与控制工程]