@article{oai:kanazawa-u.repo.nii.ac.jp:00008322,
 author = {斎藤, 武久 and 砂原, 啓人 and 市川, 督人 and 福本, 正 and 間瀬, 肇 and 石田, 啓},
 issue = {2008},
 journal = {海岸工学論文集 = Proceedings of Coastal Engineering, JSCE},
 month = {Jan},
 note = {This study aims to develop a highly accurate method for an estimation of hydraulic characteristics around an artificial reef by using an artificial neural network, instead of a conventional method using a regression analysis. The wave trapping artificial reef is chosen as the structure of an artificial reef, and transmission coefficient and wave setup behind the reef are focused as hydraulic characteristics. For the training of the artificial neural network, the Levenberg-Marquardt method with Bayesian regulation is employed. Predictions of transmission coefficient and wave setup from the trained network agreed well with the experimental results comparing with predicted ones from the method using a regression analysis.},
 pages = {971--975},
 title = {ニューラルネットワークを用いた人工リーフ周辺の水理特性評価},
 volume = {55},
 year = {2008}
}