The study on runoff prediction model of BP neural network based on phase space and GA
Zhang Shuang-hu, Qiang Huang · 2005
AbstrcatConsidering the character of reconstruction phase space of chaos time series,the good global searching ability of GA and the effective local searching capacity of BP neural network,the runoff prediction model of BP neural network based on phase space and GA was purposed in this paper,through combining reconstruction phase space,GA with BP neural network.The model is used to predict monthly runoff of up-stream in Yellow River.The result of calculation shows the model is feasible,reasonable and highly precise.