Neural network with multi-trend simulating transfer function for forecasting typhoon wave

被引：20

作者：

Chang, HK ^{[1
]}

Chien, WA ^{[1
]}

机构：

[1] Natl Chiao Tung Univ, Dept Civil Engn, Hsinchu 300, Taiwan

来源：

ADVANCES IN ENGINEERING SOFTWARE | 2006年 / 37卷 / 03期

关键词：

neural network wave model; trend simulation; transfer function; peak wave height;

D O I：

10.1016/j.advengsoft.2005.05.001

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This study develops an NN typhoon wave model to accurately and efficiently calculate wave heights at a point of interest. Multi-trend simulating transfer functions were first introduced to exemplify the relationship between wave heights and each conceivable input factor by regressive fitting. The proposed NN-MT model can accurately forecast wave peak with an error of less 1.2 m and with time delay within 3 h and can be extended to cover the station besides the original station of interest. (C) 2005 Elsevier Ltd. All rights reserved.

引用

页码：184 / 194

页数：11

共 28 条

[1]

[Anonymous], 1999, PROC 23 C HURRICANES

[2]

BOOIJ N, 1996, P 24 INT C COAST ENG, V1, P668

[3]

Bretschneider C.L., 1976, 15 C COAST ENG, V1977, P202, DOI 10.9753/icce.v15.12

[4] MODELS OF THE WAVE BOUNDARY-LAYER [J].

CHALIKOV, DV ;

MAKIN, VK .

BOUNDARY-LAYER METEOROLOGY, 1991, 56 (1-2) :83-99

[5]

CHANG HK, UNPUB NEURAL NETWORK

[6] NUMERICAL-MODEL FOR NONSTATIONARY SHALLOW-WATER WAVE SPECTRAL TRANSFORMATIONS [J].

CHEN, YH ;

WANG, H .

JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1983, 88 (NC14) :9851-9863

[7]

Deo MC, 1999, OCEAN ENG, V26, P191

[8] Neural networks for wave forecasting [J].

Deo, MC ;

Jha, A ;

Chaphekar, AS ;

Ravikant, K .

OCEAN ENGINEERING, 2001, 28 (07) :889-898

[9]

EBERHART RC, 1990, NEURAL NETWORK PC TO, P10

[10]

HAJIME M, 1995, J WATERW PORT COAST, V97, P139

← 1 2 3 →