Artificial neural network based predictive method for flood disaster

Authors:
Yiming Wei;Weixuan Xu;Ying Fan;Hsien-Tang Tasi
Affiliations:
Institute of Policy and Management, Chinese Academy of Sciences, P.O. Box 8712, Beijing 100080, People's Republic of China;Institute of Policy and Management, Chinese Academy of Sciences, P.O. Box 8712, Beijing 100080, People's Republic of China;Institute of Policy and Management, Chinese Academy of Sciences, P.O. Box 8712, Beijing 100080, People's Republic of China;Department of Business Management, National Sun Yat-Sen University, Kaohsiung 80424, Taiwan, ROC
Venue:
Computers and Industrial Engineering - 26th International conference on computers and industrial engineering
Year:
2002

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Abstract

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.