摘要
以国内已建拱坝体形参数为基础，以ＢＰ神经网络方法为手段，建立了拱坝体形参数近似优化的人工神经网络模型．借助该模型不仅可以为拱坝体形优化快速提供高质量的初始可行解，而且可为中、小拱坝体形设计直接提供近似最优解．
Based on the shape parameters of some arch dams existed in China,an approximate optimal model for determining shape parameters of arch dam by BP artificial neural networks,is established.This model can not only provide the high quality initial feasible solution for further optimization of arch dam quickly,but also give the approximate optimum shape parameters for middle and small scale arch dams directly.
出处
《武汉水利电力大学学报》
CSCD
1998年第4期22-25,共4页
Engineering Journal of Wuhan University
关键词
拱坝
优化
人工神经网络
arch dam
optimization
artificial neural networks
