基于Matlab神经网络的流域年径流量预测

阐述了运用人工神经网络模型对流域年径流量径流序列做出预报,表明人工神经网络模型在水文预报中具有一定的优势。通过BP神经网络算法得到了适合该神经网络模型的训练算法。以渔峡口站年径流量实测序列为研究对象,在数值试验的基础上建立了年径流序列预报的人工神经网络预报模型结构,提高了该模型的预报准确性。

River Annual Runoff Forecast Based on Matlab Atificial Neural Network

This paper is mainly described the forecast of runoff series of annual flow by using ANN model,it indicates the advantage of ANN model in hydrological forecasting.We can get the training algorithms suit to ANN model from BP neural network algorithms.In this paper,we can obtain artificial neural network prediction model of annual runoff series based on numerical experiments by using annual runoff volume seties in Yuxiakou as the research object,improving the accuracy of the model prediction.