首页 | 本学科首页   官方微博 | 高级检索  
     检索      

Tide Forecasting of Tides Around Taiwan by Artificial Neural Network Method and Wavelet Analysis
作者姓名:Bang-Fuh  CHEN
作者单位:Department of
基金项目:This work was financially supported by the Science Council of Taiwan(Grant No.NSC90-2611-M-110-012)
摘    要:In multiresolution analysis(MRA)by wavelet function Daubechies(db),we decompose the signal to two parts,the low and high frequency content.The high-frequency content of the data is removed first and a new "de-noise" signal is reconstructed by using inverse wavelet transform.The wavelet spectrum and harmonic analysis were used to analyze the characteristics of tidal data before constructing the input and output structure of ANN model.That is,the concept of tidal constituent phase-lags was introduced and the new "de-noise" signal was used as the input data set of ANN and the forecasting accuracy of ANN model is significantly improved.

关 键 词:人工神经系统  波浪  分析方法  预测方法

Tide Forecasting of Tides Around Taiwan by Artificial Neural Network Method and Wavelet Analysis
Bang-Fuh CHEN.Tide Forecasting of Tides Around Taiwan by Artificial Neural Network Method and Wavelet Analysis[J].China Ocean Engineering,2007,21(4):659-675.
Authors:Bang-Fuh CHEN  Chu Chi CHUN  D WANG
Institution:Department of Marine Environment and Engineering, National Sun Yat-sen University, Kaohsiung 804, China
Abstract:In multiresolution analysis(MRA)by wavelet function Daubechies(db),we decompose the signal to two parts,the low and high frequency content.The high-frequency content of the data is removed first and a new "de-noise" signal is reconstructed by using inverse wavelet transform.The wavelet spectrum and harmonic analysis were used to analyze the characteristics of tidal data before constructing the input and output structure of ANN model.That is,the concept of tidal constituent phase-lags was introduced and the new "de-noise" signal was used as the input data set of ANN and the forecasting accuracy of ANN model is significantly improved.
Keywords:artificial neural network  wavelet analysis  tide prediction
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《中国海洋工程》浏览原始摘要信息
点击此处可从《中国海洋工程》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号