基于遗传算法与神经网络相结合的区域水资源承载力综合评价  

Comprehensive evaluation method for carrying capacity of water resources based on the combination of genetic algorithm and neural network

作　　者：赵益军[1] 

机构地区：[1]山东大学数学与系统科学学院,山东济南250100

出　　处：《山东大学学报（工学版）》2006年第4期81-83,108,共4页Journal of Shandong University（Engineering Science）

摘　　要：在遗传算法与误差反向传播网络(BP网络)结构相结合的基础上,提出了利用改进的遗传算法优化神经网络进行水资源承载力综合评价的新方法,将该方法应用于淮河流域水资源承载力综合评价,实例表明是可行的,为水资源承载力定量分析开辟了新的途径.On the basis of the combination of genetic algorithm and BP neural network, the paper designs a new method to evaluate carrying capacity of water resources. The method was applied to evaluate the carrying capacity of water resources in the Huaihe River basin. The experimental results indicate that the method is feasible. It opens up new way for the quantitative analysis of carrying capacity of water resources.

关 键 词：水资源 承载力 遗传算法 神经网络 

分 类 号：TV211.1[水利工程—水文学及水资源]