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。
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.
出处
《四川水力发电》
1998年第1期12-16,共5页
Sichuan Hydropower
关键词
神经网络
降雨径流预报
水文预报
nervous network, rainfall runoff forecast, shining, self-study, non-linear
