Railway Track Irregularity Data Mining and Time Series Trend Forecasting Research

Ge Zhou

doi:10.4028/www.scientific.net/AMM.666.272

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Railway Track Irregularity Data Mining and Time Series Trend Forecasting Research
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 666Railway Track Irregularity Data Mining and Time...

Railway Track Irregularity Data Mining and Time Series Trend Forecasting Research

Abstract:

Railway track ride is one of the important indicators of the state of the tracks,This article making railway track irregularity data mining,The paper railway track irregularity data mining,data analysis implied regularity and A mathematical model to predict the time-series trends in research,Analysis of the data implied regularity and Build mathematical model getting on time series trend forecasting research.

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Periodical:

Applied Mechanics and Materials (Volume 666)

Pages:

272-275

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.666.272

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Online since:

October 2014

Authors:

Ge Zhou

Keywords:

DM, Railway Track Irregularity, Time Series, Trend Forecasting

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References

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