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基于神经网络的降雨径流预报
引用本文:陈科.基于神经网络的降雨径流预报[J].四川水力发电,1998,17(1):12-16.
作者姓名:陈科
作者单位:电力工业部成都勘测设计研究院!成都,610072
摘    要:本文将人工神经网络应用于二滩水电站以上支流鱼河的降雨径流预报,通过建模、计算、比较和分析可知,其非线性映射能力、自学习能力和灵活性,均能较好地反映降雨径流之间的非线性的、复杂的转换关系,结合流域水文特性并合理处理建模数据,值得进一步深入研究。

关 键 词:神经网络  降雨径流预报  映射  自学习  非线性

Rainfall Runoff Forecast Based on Nervous Network
Chen Ke.Rainfall Runoff Forecast Based on Nervous Network[J].Sichuan Water Power,1998,17(1):12-16.
Authors:Chen Ke
Abstract:Application of artificial nervous network in rainfall runoff forecast at tribuary Ganyu River upstream of the Ertan Project is presented here. By model establishment, computation,comparasion and analysis,the non-linear shining capacity, selfstudy capacity and facility fairly reflect non-linear and complex conversion relationship between rainfall runoffs. It is interested to make a further study according to hydrological characteristics of basin and date processing of model establishment.
Keywords:nervous network  rainfall runoff forecast  shining  self-study  non-linear
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