Slope Displacement Forecast Based on Adaptive Neural Network
Lai Jinhu · Systems Engineering - Theory & Practice · 2001
By the characteristic analysis of slope displacement time series, the largest Lyapunov exponent and saturation inseted dimension are obtained, and the longest forecast time is given. On this base, the number of inputing node of neural network is given, moreover, the method of forecasting slope displacement is presented based on adaptive neural network. Through the slope displacement forecasting of the Three Gorges Project list slope and Xintan slide, the results are satisfied. And this has much meaning to established slope displacement forecast-timely.