河道岸线变形神经网络预测模型研究

Prediction of River Bank-Line Deformation Using Artificial Neural Network

以长江下荆江河段较为典型的石首弯道为研究对象 ,研究建立了一种基于BP神经网络的河道岸线变形预测模型。计算表明 ,该模型能较为准确地模拟预测石首弯道进出口段典型断面岸线变化。模拟精度较高 。

With BP artificial neural network, a model is developed to predict river bank-line lateral evolution. The model has been used to a typical case to analyze evolution of Shishou bend in middle Yangtze River. By using the two methods, calculated results show that the model can successfully predict the changes of bank line at both inlet and outlet reaches of Shishou bend. The model is flexible and can be used to predict changes of river bank line.