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J. Ocean Eng. Technol. 2006;20(5):70-76.    

Estimation of the Stability Number of Breakwater Armor Blocks Using Probabilistic Neural Networks
Kim, Doo-Kie;Kim, Dong-Hyawn;Chang, Seong-Kyu;Chang, Sang-Kil;
Department of Civil and Environmental Engineering, Kunsan National University;Department of Ocean System Engineering, Kunsan National University;Department of Civil and Environmental Engineering, Kunsan National University;Department of Civil and Environm
확률신경망을 이용한 방파제 피복재 설계
김두기;김동현;장성규;장상길;
군산대학교 토목환경공학부;군산대학교 해양시스템공학과;군산대학교 토목환경공학부;군산대학교 토목환경공학부;
Copyright © 2006 The Korean Society of Ocean Engineers     Open access / Under a Creative Commons License
Key Words: Breakwater, Armor block, Stability number, Probabilistic neural network, Training pattern
핵심용어: 방파제, 피복재, 안정수, 확률신경망, 학습유형
Abstract
A Probabilistic neural network (PNN) technique for predicting the stability number for the armor blocks of breakwaters is presented. A PNN is prepared using the experimental data of van der Meer and is then compared with the empirical formula and previous artificial neural network (ANN) model. This comparison shows that a PNN can effectively predict the stability numbers in spite of data complexity, incompleteness, and incoherence, and can be an effective tool for the designers of rubble mound breakwaters to support their decision process and to improve design efficiency.


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