河道浅滩演变预测的人工神经网络模型

Artificial neural network model for predicting the evolution of river bank

本文主要介绍利用人工神经网络对河道演变进行预测研究,并选取最佳模型对河道演变进行预测。通过对比分析发现RBF网络模型比BP神经网络模型的训练时间短,两模型的预测精度相差不多。结果证实人工神经网络在河道浅滩演变中具有较强的应用性,为河道浅滩演变预测开辟了一条新思路。

This paper mainly introduces the research on river evolution prediction using artificial neural net- work ,and select the best model to forecast the fiver evolution.Through the comparative analysis found that RBF network model is better than BP neural network model of short training time,the prediction accuracy of two models is not much difference.The results proved that the artificial neural network has strong application in river shoal evolution in river shoal evolution prediction opens up a new way.