泥沙研究Issue(1)：30-37,8.
基于神经网络的水沙运动预报模型与回归模型比较及应用
Application and Comparison of Fluid-Sediment ANN Prediction Model with Empirical Model
摘要
Abstract
Flood evolvement exhibits a complicated non-linear dynamical process. Seeing that artificial neural network possesses the capabilities of dealing with complex non-linear dynamical systems, this paper demonstrates how it can be used in flood prediction as a new approach by considering the non-linear relationship between flood evolvement and its affecting factors. Comparing of fluid-sediment ANN(Artificial Neural Network) prediction model with empirical model is made and two models are applied to the flood level prediction of Yangtze River at Luoshan station.关键词
神经网络模型/泥沙灾害/回归模型分类
建筑与水利引用本文复制引用
李义天,李荣,黄伟..基于神经网络的水沙运动预报模型与回归模型比较及应用[J].泥沙研究,2001,(1):30-37,8.
