全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Prediction of Slope Displacement by Using Lyapunov Exponent Improved Technique
基于Lyapunov指数改进算法的边坡位移预测

Keywords: chaotic time series,Lyapunov exponents,small data sets,slope displacement predition
混沌时间序列
,Lyapunov指数,小数据序列,边坡,位移预测

Full-Text   Cite this paper   Add to My Lib

Abstract:

An improved Lyapunov exponent algorithm for small data sets is introduced. This method is not only reliable to small data sets, but also of less computation amount and easy to handle. On the basis of the characteristic analysis of slope displacement time series, the largest Lyapunov exponent is obtained. Moreover, the slope displacement is predicted by using one-dimension mode. The improved method is more reliable than existing ones. The slope displacement prediction is made for the Three Gorges Project shiplift slope and Xintan slope slide, and the results are satisfied.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133