【摘要】 黄河内蒙段地处黄河流域最北端,由于它的特殊地理位置、水文气象条件、河道特性,几乎每年产生凌汛。应用基于遗传算法的模糊优选BP网络模型,对黄河内蒙段封河、开河日期进行预报。结果表明,该模型既能合理地构造神经网络的拓扑结构,又可加快网络的收敛速度,并能改善网络的全局寻优能力。更多还原

【Abstract】 Inner Mongolia reach lies in the north of the Yellow River.Every year ice flood arises from its special geographical position,hydro-meteorological conditions and river course characteristics.In this paper,fuzzy optimization BP neural networks model based on genetic algorithm is used to forecast the freeze-up and break-up date in the Inner Mongolia reach of the Yellow River.The results show that it can not only build reasonable topology structure,accelerate the convergence speed but also improve global optimum-seeking.更多还原