阐述了洪水预报BP网络模型的构造和数据处理方法,在对BP网络的学习率和动量项的自适应调整算法进行改进的基础上,建立了降雨一水位预报BP网络模型,实现对洪水水位的直接预报;同时还提出以点雨量作为模型输入的建模方案,有效地改善了BP网络的模拟性能.
In this paper, the adaptive adjustment algorithm of the momentum and learning rate of BP Network is improved. The structure of BP network and the data processing method of flood forecast model are discussed. In order to predict the flood water level directly, the rainfaU-water level forecast model is built. Furthermore, a new modeling scheme, in which the point rainfall data are used as the model input, is proposed, and the accuracy of BP network is improved.