An Intelligent System for Fast Evaluation of Flood Disaster

摘要：

The result of disaster evaluation is not only the basis for decision-making to control flood but also the important guideline to judge flood control effect. In this paper, an intelligent disaster evaluation system is designed. The system includes flood circs simulation, loss computation, and disaster evaluation modules. Then, three intelligent algorithms, that is, gray relational analysis, BP neural network, IGA-based RBF neural network, are proposed and applied to disaster evaluation. Simulation results show that IGA-based RBF and gray relational analysis have high precision and excellent performance, so it is feasible to use them in practical applications.

关键词： disaster evaluation intelligent evaluation BP neural network gray relational analysis RBF neural network immune genetic algorithm

作者: Yunxiang Chen Yongsheng Ding Xiangfeng Zhang Bingyong Tang

作者单位: Gloria Business and Management Institute, Donghua University, Shanghai 200051;The Department of Wate College of Information Sciences and Technology, Donghua University, Shanghai 201620 Gloria Business and Management Institute, Donghua University, Shanghai 200051

会议类型: 国际会议

会议名称: The 1st International Conference on Risk Analysis and Crisis Response(首届风险分析与危机反应国际学术研讨会)

会议地点: 上海

会议语种:英文

页码: 537-542

在线出版日期: 2007-09-25（万方平台首次上网日期，不代表论文的发表时间）