Artificial neural network based predictive method for flood disaster

被引：28
|
作者：
Wei, YM
Xu, WX
Fan, Y
Tasi, HT
机构：
[1] Chinese Acad Sci, Inst Policy & Mangement, Beijing 100080, Peoples R China
[2] Natl Sun Yat Sen Univ, Dept Business Management, Kaohsiung 80424, Taiwan
来源：
COMPUTERS & INDUSTRIAL ENGINEERING | 2002年 / 42卷 / 2-4期
关键词：
artificial neural network; predictive method; flood disaster;
D O I：
10.1016/S0360-8352(02)00047-5
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Most of flood disaster predictions belong to ill-structured problems, while artificial neural network (ANN) has several characteristics that are suitable for solving them. In this paper, a neural network based predictive method for flood disaster problem is proposed in which the neural network model and its basic designing principles are described, and an example of flood disaster area in China from 1949 to 1994 is used for demonstration. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：383 / 390
页数：8
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