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発表 Training and Generalization of Experimental Values Of Ice Scour Event by A Neural-Network

作成年度 2003年度
論文名 Training and Generalization of Experimental Values Of Ice Scour Event by A Neural-Network
論文名(和訳)
論文副題
発表会 ISOPE-2003 (The 13th International Offshore and Polar Engineering Conference)
誌名(No./号数)
発表年月日 2003/05/25 ~ 2003/05/30
所属研究室/機関名 著者名(英名)
港湾研究室木岡 信治(KIOKA Shinji)
北海道大学大学院佐伯 浩(SAEKI Hiroshi)
抄録
This paper mainly reports on the training/generalization of experimental data on a scour-curve、 which is a two dimensional locus remained when ice keel ploughs the seabed、 by a Neural-Network (NN). As a result of training、 the multiple correlation between estimated value by NN after training and experimental values was more than 0.99. We proposed that this method could replace a nonlinear multiple-regression analysis、 which is very difficult to be applied when unknown parameters are independent. The NN model driven by an extensive data set will be useful tool for developing a practical method for estimation of scour depth by combining it with a mechanical ice scour model that we had already developed.
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