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Simulation of Wave Forces on A Semi-Circular Breakwater Using Multilayer Feed Forward Network
作者姓名:徐杰  陶建华
作者单位:Department of Mechanics,Tianjin University,Department of Mechanics,Tianjin University Tianjin 300072,China,Tianjin 300072,China
基金项目:ThisresearchworkissupportedbytheHi TechResearchandDevelopmentProgramofChina (GrantNo .2 0 0 2AA639610 )
摘    要:1 .IntroductionTheartificialneuralnetwork(ANN)hasbeenwidelyusedinmanyscientificfieldsinrecentyears .Itisakindofinformationmanagementsystemthatresemblesthehumanbraininworkpattern .Comparedwiththetraditionalmethodsofnumericalsimulation ,ANNhastheadvantagesofrelativein dependenceofphysicalmodel,uniformandsimplewayofrealization ,quicknessofcomputing ,andsoon .Sincethemodelofartificialneuronswasfirstlyintroducedin 1 943,ithasbeendevelopedthroughseveralstages.TheapplicationofANNhadnotbeenpopular…


Simulation of Wave Forces on A Semi-Circular Breakwater Using Multilayer Feed Forward Network
XU Jie,and TAO Jian-hua.Simulation of Wave Forces on A Semi-Circular Breakwater Using Multilayer Feed Forward Network[J].China Ocean Engineering,2003,17(2).
Authors:XU Jie  and TAO Jian-hua
Institution:XU Jie and TAO Jian-hua 1 Department of Mechanics,Tianjin University,Tianjin 300072,China
Abstract:In this paper, the Artificial Neural Network (ANN) is used to study the wave forces on a semi-circular breakwater. The process of establishing the network model for a specific physical problem is presented. Networks with double implicit layers have been studied by numerical experiments. 117 sets of experimental data are used to train and test the ANN. According to the results of ANN simulation, this method is proved to have good precision compared with experimental and numerical results.
Keywords:semi-circular breakwater  wave force  Artificial Neural Network (ANN)  BP algorithm  trial and error
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