An Advanced Probabilistic Neural Network for the Design of Breakwater Armor Blocks

查看全文 作　　者：Dookie [1]KIM;Dong Hyawn [2]KIM;Seongkyu [1]CHANG;Gil Lim [3]YOON 机构地区：[1]Department of Civil and Environmental Engineering,Kunsan National University,Kunsan,Jeonbuk,Korea;[2]Department of Ocean System Engineering,Kunsan National University,Kunsan,Jeonbuk,Korea;[3]Coastal Engineering Research Department,KORDI,Ansan,Gyeonggi,Korea 出　　处：《China Ocean Engineering》索引2007年第21卷第4期,共14页 基　　金：This work was supported by grant PM484400 ;PM41500 from'High-Tech Port Research Program'founded by Ministry of Maritime Affairs and Fisheries of Korean Government. 摘　　要：In this study,an advanced probabilistic neural network(APNN)method is proposed to reflect the global probability density function(PDF)by summing up the heterogeneous local PDF which is automatically determined in the individual standard deviation of variables.The APNN is applied to predict the stability number of armor blocks of breakwaters using the experimental data of van der Meer,and the estimated results of the APNN are compared with those of an empirical formula and a previous artificial neural network(ANN)model.The APNN shows better results in predicting the stability number of armor blocks of breakwater and it provided the promising probabilistic viewpoints by using the individual standard deviation in a variable. 关 键 词：防浪堤 波浪 海洋 分析方法