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发表于 2009-3-17 18:12:54
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虽然不合适，也可能有点参考吧
http://www.swarmagents.cn/thesis/detail.asp?id=42
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5 H" ?$ g& e) z& b3 R铁路轨道状态检测数据处理智能分析方法9 j/ D, T+ K3 P' X
0 I" M6 D' O, s) @: y$ ]$ D% m作者：陈峰,张江 星级： 7 n/ o5 z6 x2 A
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% I/ g0 U( L* H3 e% G& s6 d, o[摘要] 本文从实际背景出发，提出了用人工神经网络对轨检数据进行智能分析的方法，并编制了简单的软件系统，可以对由轨检车测得的数据进行智能的模式归类，给出科学合理的评价。文章详细讨论了问题的背景、人工神经网络方法还有轨检车数据的数据结构，并对BP反向传播网络的算法进行了详细的介绍，把我们所编制的轨检数据智能处理软件的需求分析、总体规划、模块划分等进行了详细的说明。最后，我们以京九铁路上行线5月23日的轨检数据为实例进行了实例分析。% X% F+ H& N1 U% m6 C; a
[关键词] 人工神经网络,轨检车,BP算法,铁轨,软件系统2 I. x3 e F) A# o" C6 P" x
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* p' W6 s+ `4 a) lArtificial Neural Network Based Intelligent Analysis Of Track Geometry Inspection Statistics
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; X9 K4 p, L$ ?* h7 |, Y. y% f5 j! G[Abstract] This paper gives some primary discussion about methodology of the intelligent analysis of track geometry inspection statistics based on artificial neural network under the practice background. Also a software system is exploited which can classify the detecting statistics from track geometry inspection car and give scientific and reasonable evaluation automatically. The essay discuss the background of the problem, methodology of artificial neural network and other related artificial intelligence and the data structure of track geometry inspection. Back Propagation arithmetic and the analysis of our software application’s request, overall scheme and the model design are also detailed illustrated. While we find the statistics of JingJiu railway track geometry inspection as the instance to research and test our application.
8 U+ n( I' f0 N- ]* }, j[Keywords] Artificial Neural Network,Track geometry inspection car,Back Propagation arithmetic,Track,Software system |
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