A study on immune-based neural network algorithm for fast evaluation of flood disaster

作者：Chen Yunxiang^*; Zhang Xiangfeng; Tang Bingyong

来源：Dynamics of Continuous Discrete and Impulsive Systems: Series B; Applications and Algorithms , 2006, 13: 186-190.

• disaster evaluation
• flood control
• immune optimization
• RBF neural network

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 immune algorithm based radial base function neural network algorithm, called IA-RBF algorithm, is proposed to evaluate quickly flood disaster. We introduce the method and optimization process of the IA-RBF. Also, we demonstrate superiority of the IA-RBF by comparing it with BP neural network model and grey relational analysis. Finally, we prove the feasibility of the IA-RBF by practical application.

• 出版日期2006-12
• 单位东华大学