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- Hajime Mase
- Disaster Prevention Research Institute, Kyoto University, Gokasho, Uji, Kyoto 611-0011, Japan
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- Maria T. Reis
- National Civil Engineering Laboratory (LNEC), Avenida do Brasil 101, 1700-066 Lisbon, Portugal
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- Shunji Nagahashi
- Construction Bureau, Osaka City, Minato-ku, Osaka 552-0012, Japan
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- Takehisa Saitoh
- Department of Civil Engineering, Kanazawa University, Kanazawa-shi, Ishikawa 9201192, Japan
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- Terry S. Hedges
- Department of Engineering, University of Liverpool, Liverpool L69 3GQ, United Kingdom
説明
This study examined the applicability of artificial neural networks (ANNs) to the estimation of wave overtopping over sloping seawalls, especially with regard to the best structure for an ANN. Correlation coefficients between measurements and predictions were best when 6 input units and 12 hidden layer units were employed. Bayesian Regularization, recommended in this study, does not require a validation data set. It was found that the ANNs could not recognize when wave overtopping failed to occur if data on zero overtopping were omitted.
収録刊行物
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- Coastal Structures 2007
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Coastal Structures 2007 1542-1551, 2009-06
World Scientific Publishing Company
