摘要
人工神经网络通过神经元之间的相互作用来完成整个网络的信息处理,具有自学习和自适应等一系列优点,因而用它来进行洪水预报是可行的.对洪水预报问题,初步建立了基于神经网络的洪水预报系统,给出了应用实例。
The artificial neural network can complete the information treatment of the wholenetwork by means of interaction between the neural units, and has a lot of meritson self-learning, self-adjusting and such like. Therefore it is feasible that flood is forecast bythe neural network. The forecast system based on the neural network is initially set up and anexample is put forward for the problem of flood forecast.
出处
《自然灾害学报》
CSCD
2000年第2期45-48,共4页
Journal of Natural Disasters
基金
国家自然科学基金!49171061
关键词
洪水
人工神经网络
BP算法
洪水预报
flood
forecast
artificial neural network
back-propagation algorithm