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拱坝近似优化的人工神经网络方法
Artificial Neural Networks Method for Determining Approximate Optimum Shape of Arch Dam
【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.
【Abstract】 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.
- 【文献出处】 武汉水利电力大学学报 ,JOURNAL OF WUHAN UNIVERSITY OF HYDRAULIC AND ELECTRIC ENGINEERING , 编辑部邮箱 ,1998年04期
- 【分类号】TV642.4
- 【被引频次】25
- 【下载频次】84