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中文摘要：
洪水灾情的评价工作对洪水灾害的分类管理具有重要的指导意义。脉冲耦合神经网络模型应用到洪水灾情评价中是一次新尝试,该方法通过脉冲输出从而调节阈值,并且应用动态阈值来确定洪水灾情的等级。这个方法比传统的BP模型简化了权值的训练,模型更加简便、直观。采用脉冲耦合神经网络模型得出的评价结果同灰色关联法、灰色聚类法、灰色模糊综合法的评价结果进行了比较,表明其用于洪水损失评价具有科学性和实用性。
英文摘要：
Evaluation of flood disasters is of an important guiding significance to the classified management of flood disasters. As a new attempt,the pulse-coupled neural network model is used in the evaluation of flood disasters. With this method,threshold value is adjusted by output of impulse and grade of a flood disaster is determined by using dynamic threshold. Compared to BP model,this model simplifies the training of the weight. The model is more simple,convenient and intuitive. Comparison of the results of pulse-coupled neural network model with grey association,grey clustering and synthetic grey-fuzzy shows that pulse-coupled neural network model is of scientific and practical value for evaluation of flood disaster losses.
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