Considering some defects of BP Neural Network, this paper proposes a GA-BP ( Genetic Neural Network) learning algorithm, which is obtained by using Genetic Algorithm to optimize neural network trained by BP algorithm, and the GA-BP model of sand liquefaction is established. Based on the observation data of sand liquefaction, the computing results of the GA-BP model and the BP model prove that the former is nicer than the later in predicting the sand liquefaction.
参考文献
相似文献
引证文献
引用本文
薛新华,张我华,刘红军.基于遗传神经网络的地震砂土液化判别研究[J].地震工程学报,2006,28(1):42-45. XUE?Xin-hua, ZHANG?Wo-hua, LIU?Hong-jun. Research on Sand Liquefaction Based on the Genetic Neiral Network[J]. China Earthquake Engineering Journal,2006,28(1):42-45.