| An Advanced Probabilistic Neural Network for the Design of Breakwater Armor Blocks |
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| 引用本文： | Dookie KIM,Dong Hyawn KIM,Seongkyu CHANG,Gil Lim YOON. An Advanced Probabilistic Neural Network for the Design of Breakwater Armor Blocks[J]. 中国海洋工程, 2007, 21(4): 597-610 |
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| 作者姓名： | Dookie KIM Dong Hyawn KIM Seongkyu CHANG Gil Lim YOON |
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| 作者单位： | Department of Civil and Environmental Engineering Kunsan National University，Kunsan，Jeonbuk，Korea，Department of Ocean System Engineering，Kunsan National University，Kunsan，Jeonbuk，Korea，Department of Civil and Environmental Engineering，Kunsan National University，Kunsan，Jeonbuk，Korea，Coastal Engineering Research Department，KORDI，Ansan，Gyeonggi，Korea |
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| 基金项目： | 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. |
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| 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.
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| 关 键 词： | 防浪堤 波浪 海洋 分析方法 |
An Advanced Probabilistic Neural Network for the Design of Breakwater Armor Blocks |
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| Dookie KIM,Dong Hyawn KIM,Seongkyu CHANG,Gil Lim YOON. An Advanced Probabilistic Neural Network for the Design of Breakwater Armor Blocks[J]. China Ocean Engineering, 2007, 21(4): 597-610 |
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| Authors: | Dookie KIM Dong Hyawn KIM Seongkyu CHANG Gil Lim YOON |
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| Affiliation: | [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 |
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| Abstract: | 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. |
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| Keywords: | breakwater armor block stability number multivariate gaussian distribution classigication artificial neural network (ANN) advanced probabilistic neural network (APNN) |
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