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Research on Evaluation and Early Warning System of Industry Security

Author: WangLiHuan
Tutor: QinQiuLi
School: Beijing Jiaotong University
Course: Management Science
Keywords: Industrial security Assessment and early warning Principal Component Analysis BP neural network
CLC: F062.9
Type: Master's thesis
Year: 2011
Downloads: 261
Quote: 0
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Abstract


Industrial safety evaluation of early warning system based on comprehensive evaluation of industrial safety science , according to the indicator changes , timely and accurate warning , help provide reasonable suggestions for the protection of industrial security . Good industrial safety warning , preventive measures against economic risks , maintenance of industrial safety measures . The purpose of the establishment of the industrial safety evaluation of early warning system designed to evaluate various indicators of the industry , analysis of the degree of safety of the industry , and then focus sensitive indicator parameter monitoring , assessing their impact on the industry , publishing industry by substantial damage front of , threaten or hinder industrial safety warning information , to provide information and evidence , adjust the industrial structure , the development of a variety of measures to maintain the safety of our industry , and industry protection . The industry as a system to study , the use of the method of theoretical analysis , mathematical statistics methods analyze it . First on the influencing factors of industrial safety , classification of risk indicators , industrial safety evaluation index system is constructed ; using principal component analysis followed by detailed calculation of major and small share of the rights of the individual indicators in each category of indicators , to build the industrial safety evaluation model ; final analysis of the critical values ??of the indicators , the establishment of industrial safety warning model , with BP neural network to predict the trend of industrial security . Combination of theoretical analysis and practical application based on principal component analysis and artificial neural network combined systematic evaluation of industrial safety monitoring and early warning , it is clear that the changes of all levels , and insight into the transformation of the industry in the development of running , is conducive to the government to take timely measures to resist risks . This article in the last financial industry as an example empirical research , comprehensive analysis of trends in judgment of the security situation in the financial industry , to verify the feasibility and effectiveness of the evaluation of early-warning model . This article Total Figure 5 , Table 26 , Reference 51 .

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CLC: > Economic > Economics > Branch of science in Economics > Industrial Economics
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