曝光台 注意防骗
网曝天猫店富美金盛家居专营店坑蒙拐骗欺诈消费者
12 (0 1 0 0) ( - 01000 3 01999 9 - 01000 5 01000 7) 基本安全
图2 网络训练的误差变化曲线
Fig. 2 Curve for error change of network training
图3 网络检测的误差变化曲线
Fig. 3 Curve for error change of network measuring
References( 参考文献) :
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711
[2 ] PING Yun ( 平芸) . Early2warning management system research on
aviation airport safety (民航机场安全预警管理系统研究) [D] .
Wuhan : Wuhan University of Technology , 2003 : 38 - 401
[3 ] LUO Fan(罗帆) , SHE Lian (佘廉) , SONGLei (宋磊) . Establish of
early2warning management system on aviation airport safety[J ] . China
Civil Aviation (中国民用航空) , 2002 , 23(11) : 47 - 491
[4 ] XIN Jing (辛晶) , XIA Dengyou (夏登友) , KANG Qingchun (康青
春) , et al . Application of BP neural network in the fore2warning of ve2
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modern neural network (现代神经网络应用) [M] . Beijing : Publish2
ing House of Electronics Industry , 19991
[6 ] YANG Shue (杨淑娥) , HUANGLi (黄礼) . Financial crisis warning
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[7 ] WANGWenping(王文平) . Study on tax revenue warning and predic2
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application ( 人工神经网络及其应用) [M] . Beijing : Publishing
House of Tsinghua University , 19991
[9 ] XU Dong (许东) , WU Zheng (吴铮) . Analysis and design of MAT2
LAB6102based systems (基于MATLAB610 的系统分析与设计) [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 煤矿瓦斯防治与
利用技术国际研讨会
由国家安全生产监督管理总局和国家煤矿安全
监察局联合主办的2008 煤矿瓦斯防治与利用技术国
际研讨会将于2008 年10 月23 —24 日在安徽淮南举
行。详情请登录: http :/ / www. ncics. org. cn。
3 收稿日期: 2007 - 12 - 14
作者简介: 艾力·斯木吐拉,教授,博士,从事沙漠地区道路交通安
全研究,ismutulla @1631com。
基金项目: 国家自然科学基金项目(50422286)
文章编号: 100926094 (2008) 0420143205
驾驶员反应特性在沙漠
环境中的表现3
艾力·斯木吐拉, 李 鑫, 马晓松
(新疆农业大学机械交通学院,乌鲁木齐830052)
摘 要: 在沙漠等特殊环境下,驾驶员的反应特性水平是衡量驾驶员
驾驶适宜性的重要指标。为了探索汽车驾驶员的反应特性在特殊环
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