基于神经网络的洪水灾害预测方法

在工程应用的实际预测中,主要有两类不同性质的问题,一类是强结构化问题,另一类是弱结构化问题。而洪水灾害系统的预测问题,基本上属于弱结构化问题。人工神经网络是处理弱结构化问题的强有力的工具,人工神经网络所具有的一些特征表明了它适用于洪水灾害的预测。本文建立了用于洪水灾害预测的人工神经网络模型,阐述了其基本原理,并结合实例说明了其应用。

Neural Network Based Predicative Method for Flood Disaster

There are two types of predicative problems about the practical predication in the engineering application,one is called the well-structured problem,another is called ill-structured problem But most of problems on the flood disaster predication belong to the ill-structured problem Artificial Neural Network(ANN) is a powerful effective tool to deal with this kinds of ill-structured problems ANN has several characteristics that indicate its suitability for the flood disaster predication problem In this paper,the Neural Network model for flood disaster predication is formulated Its principle is described,and then illustrated with an example.