Comparison of Artificial Neural Networks and Genetic Algorithms for Predicting Liquid Sloshing Parameters
文档名：Comparison of Artificial Neural Networks and Genetic Algorithms for Predicting Liquid Sloshing Parameters
Abstract：Thispaperdevelopsanumericalcodeformodellingliquidsloshing.Thecoupledboundaryelement-finiteelementmethodwasusedtosolvetheLaplaceequationforinviscidfluidandnonlinearfreesurfaceboundaryconditions.UsingNakayamaandWashizu'sresults,thecodeperformancewasvalidated.Usingthedevelopednumericalmode,weproposedartificialneuralnetwork(ANN)andgeneticalgorithm(GA)methodsforevaluatingsloshingloadsandcomparingthem.Tocomparetheefficiencyofthesuggestedmethods,themaximumfreesurfacedisplacementandthemaximumhorizontalforceexertedonarectangulartank'sperimeterareexamined.ItcanbeseenfromtheresultsthatbothANNsandGAscanaccuratelypredictηmaxandFmax.
作者：HassanSaghi MohammadRezaSaraniNezhad RezaSaghi SepehrPartoviSahneh Author：HassanSaghi MohammadRezaSaraniNezhad RezaSaghi SepehrPartoviSahneh
作者单位：DepartmentofCivilEngineering,HakimSabzevariUniversity,Sabzevar,IranDepartmentofElectricalandComputerEngineering,UniversityofBirjand,Birjand,IranStateKeyLaboratoryofCoastalandOffshoreEngineering,DalianUniversityofTechnology,Dalian,116024,ChinaDepartmentofMarineEngineering,AmirkabirUniversityofTechnology,Tehran,Iran
刊名：哈尔滨工程大学学报（英文版） ISTIC
Journal：JournalofMarineScienceandApplication
年，卷(期)：2024, 23(2)
分类号：
Keywords：SloshingloadsFluidstructureinteractionsPotentialflowanalysisArtificialneuralnetworkGeneticalgorithm
机标分类号：STP311P315.61
在线出版日期：2024年5月27日
基金项目：ComparisonofArtificialNeuralNetworksandGeneticAlgorithmsforPredictingLiquidSloshingParameters[
期刊论文]哈尔滨工程大学学报（英文版）--2024, 23(2)HassanSaghiMohammadRezaSaraniNezhadRezaSaghiSepehrPartoviSahnehThispaperdevelopsanumericalcodeformodellingliquidsloshing.Thecoupledboundaryelement-finiteelementmethodwasusedtosolvetheLaplaceequationforinviscidfluidandnonlinearfreesurfac...参考文献和引证文献
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Comparison of Artificial Neural Networks and Genetic Algorithms for Predicting Liquid Sloshing Parameters
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