摘要
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。
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
出处
《中国管理科学》
CSSCI
2000年第3期57-62,共6页
Chinese Journal of Management Science
基金
国家自然科学基金!资助项目(79900002)
国家自然科学基金和长江水利委员会联合资助重大项目!(50099620)
