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基于BP神经网络的中国石油安全预警研究
引用本文:范秋芳.基于BP神经网络的中国石油安全预警研究[J].运筹与管理,2007,16(5):100-105.
作者姓名:范秋芳
作者单位:中国石油大学,经济学系,山东,东营,257061
摘    要:为保障国家石油安全、保障国民经济安全运行,本文根据石油安全预警的特点,采用神经网络方法进行预警,设计了BP神经网络模型,应用BP神经网络建立了中国石油安全预警系统,并进行了预警研究和实证分析,得出我国石油安全属于重警区,需加强安全防范。

关 键 词:管理科学  石油安全  BP神经网络  预警
文章编号:1007-3221(2007)05-0100-06
修稿时间:2007-03-28

Research on China Oil Security Pre-warning Based on Bp Neural Networks
FAN Qiu-fang.Research on China Oil Security Pre-warning Based on Bp Neural Networks[J].Operations Research and Management Science,2007,16(5):100-105.
Authors:FAN Qiu-fang
Institution:Department of Economics, China Petroleum University, Dongying 257061, China
Abstract:In order to protect the nation's oil security and safeguard national economic operation,based on the characteristics of oil security warning,the paper uses neural networks for pre-warning.It designs Bp neural networks models to establish China petroleum security warning system and makes an empirical analysis to predict the degree of safety.It proves that China petroleum security is dangerous,so we must strengthen security measure.
Keywords:management science  oil security  BP neural networks  pre-warning
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