An empirical wave forecasting model based on the neural network

被引：0

作者：

Ota, T ^{[1
]}

Kimura, A ^{[1
]}

Hagi, Y ^{[1
]}

机构：

[1] Tottori Univ, Fac Engn, Tottori, Japan

来源：

STOCHASTIC HYDRAULICS 2000 | 2000年

关键词：

D O I：

暂无

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

A multiple regression model based on the neural network is applied to short-term wave forecasting. Three-layered neural network and back-propagation learning rule are used to develop the forecasting model. A series of learning data, which is necessary to construct the network, consist of difference of atmospheric pressure (input) and significant wave height (output). The forecasting models are made with respect to 4 points along the coast of the Japan Sea. The results show that the problem of the usual regression models is solved fairly.

引用

页码：453 / 460

页数：8

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