基于Lyapunov指数改进算法的边坡位移预测

给出了一种最大Lyapunov指数的改进算法，这种改进算法不仅对小数据序列可靠，而且计算量小，相对容易操作。通过对边坡位移历史数据序列进行特征分析，计算出最大Lyapunov指数，并利用最大yapunov指数的一维模式进行边坡位移预测。这种改进的方法比已有的研究方法更可靠,而且操作起来比较方便。通过对三峡升船机高边坡和新滩滑坡实际位移数据进行预测，结果令人满意。

Prediction of Slope Displacement by Using Lyapunov Exponent Improved Technique

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.