水科学与水工程2010，Vol.3Issue(3)：304-312,9.DOI:10.3882/j.issn.1674-2370.2010.03.006
Application of artificial neural network to calculation of solitary wave run-up
Application of artificial neural network to calculation of solitary wave run-up
摘要
Abstract
The prediction of solitary wave run-up has important practical significance in coastal and ocean engineering,but the calculation precision is limited in the existing models.For improving the calculation precision,a solitary wave run-up calculation model was established based on artificial neural networks in this study A back-propagation(BP)network with one hidden layer was adopted and modified with the additional momentum method and the auto-adjusting learning factor.The model was applied to calculation of solitary wave run-up.The correlation coefficients between the neural network model results and the experimental values was 0.9965.By comparison with the correlation coefficient of 0.9635,between the Synolakis formula calculation results and the experimental values,it is concluded that the neural network model is an effective method for calculation and analysis of solitary wave run-up.关键词
solitary wave run-up/artificial neural network/back-propagation(BP)network/additional momentum method/auto-adjusting learning factorKey words
solitary wave run-up/artificial neural network/back-propagation(BP)network/additional momentum method/auto-adjusting learning factor分类
建筑与水利引用本文复制引用
You-xing WEI,Deng-ting WANG,Qing-jun LIU..Application of artificial neural network to calculation of solitary wave run-up[J].水科学与水工程,2010,3(3):304-312,9.基金项目
The work was supported by State Key Development Program of Basic Research of China(Grant No.2010CB429001). （Grant No.2010CB429001）
