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Application of artificial neural network to calculation of solitary wave run-up 被引量:1
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作者 You-xing WEI Deng-ting WANG Qing-jun LIU 《Water Science and Engineering》 EI CAS 2010年第3期304-312,共9页
The prediction of solitary wave run-up has important practical significance in coastal and ocean engineering, but the calculation precision is limited in the existing models. For improving the calculation precision, a... The prediction of solitary wave run-up has important practical significance in coastal and ocean engineering, but the calculation precision is limited in the existing models. For improving the calculation precision, a solitary wave run-up calculation model was established based on artificial neural networks in this study. A back-propagation (BP) network with one hidden layer was adopted and modified with the additional momentum method and the auto-adjusting learning factor. The model was applied to calculation of solitary wave run-up. The correlation coefficients between the neural network model results and the experimental values was 0.996 5. By comparison with the correlation coefficient of 0.963 5, between the Synolakis formula calculation results and the experimental values, it is concluded that the neural network model is an effective method for calculation and analysis of solitary wave ran-up. 展开更多
关键词 solitary wave run-up artificial neural network back-propagation bp network additional momentum method auto-adjusting learning factor
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