曝光臺 注意防騙 網曝天貓店富美金盛家居專營店坑蒙拐騙欺詐消費者

12 (0 1 0 0) ( - 01000 3 01999 9 - 01000 5 01000 7) 基本安全
圖2 　網絡訓練的誤差變化曲線
Fig. 2 　Curve for error change of network training
圖3 　網絡檢測的誤差變化曲線
Fig. 3 　Curve for error change of network measuring
References( 參考文獻) :
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Wuhan : Wuhan University of Technology , 2003 : 38 - 401
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[4 ] 　XIN Jing (辛晶) , XIA Dengyou (夏登友) , KANG Qingchun (康青
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[5 ] 　XING Chunying (刑春穎) , YANG Ying (陽影) . The application of
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ing House of Electronics Industry , 19991
[6 ] 　YANG Shue (楊淑娥) , HUANGLi (黃禮) . Financial crisis warning
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[9 ] 　XU Dong (許東) , WU Zheng (吳錚) . Analysis and design of MAT2
LAB6102based systems (基于MATLAB610 的系統分析與設計) [M] .
Xi’an : Xidian University Press , 20021
Breakthrough in early safety warning system
for civil aviation airport based on BP neural
network
WANG Hong2de , PAN Ke
(College of Civil and Safety Engineering , Dalian Jiaotong University ,
Dalian 116028 , Liaoning , China)
Abstract : This paper is aimed to report its authors’breakthrough
renovation over the conventional early warning model of airport acci2
dents by using the BP network system in its process. In our research ,
first of all , we have defined more clearly the characteristic features of
BP network and pointed out the out2of2date operational routine still
prevailing in the current Chinese airports , thus , laying a successful
foundation to its application. In doing so , we have also explained why
it is necessary to choose the two levels of the BP network for its prac2
tical application. Next , we have ascertained the index system of the
early safety warning practice with the simulation data concerned being
done by SPSS principal components analytic method. Furthermore ,
the training and test of this BP model has been checked by using the
MATLAB software. Test results of our research prove that our model
is feasible and efficient for its mission. For practical purpose , we
have also presented the structure , the function , as well as the princi2
ples of our renovated early warning system in a detailed way , which is
highly applicable on the basis of bi2level constitutional model.
Key words : safety management engineering ; civil aviation airport ;
BP neural network (BPNN) ; security early warning
CLC number : X91314 　　　Document code : A
Article ID : 100926094 (2008) 0420139205
2008 煤礦瓦斯防治與
利用技術國際研討會
由國家安全生產監督管理總局和國家煤礦安全
監察局聯合主辦的2008 煤礦瓦斯防治與利用技術國
際研討會將于2008 年10 月23 —24 日在安徽淮南舉
行。詳情請登錄: http :/ / www. ncics. org. cn。
3 收稿日期: 2007 - 12 - 14
作者簡介: 艾力·斯木吐拉,教授,博士,從事沙漠地區道路交通安
全研究,ismutulla @1631com。
基金項目: 國家自然科學基金項目(50422286)
文章編號: 100926094 (2008) 0420143205
駕駛員反應特性在沙漠
環境中的表現3
艾力·斯木吐拉, 李　鑫, 馬曉松
(新疆農業大學機械交通學院,烏魯木齊830052)
摘　要: 在沙漠等特殊環境下,駕駛員的反應特性水平是衡量駕駛員
駕駛適宜性的重要指標。為了探索汽車駕駛員的反應特性在特殊環
　
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