Evaluation Model of Carrying Capacity of Water Resources Based on Standardized Indices of Radial Basis Function  

基于RBF的指标规范值的水资源承载力评价模型(英文)

作　　者：臧蕾[1] 李祚泳[1] 刘伟[1] 

机构地区：[1]成都信息工程学院,四川成都610225

出　　处：《Agricultural Science & Technology》2012年第6期1365-1367,共3页农业科学与技术（英文版）

基　　金：Supported by National Natural Science Foundation of China (51179110)~~

摘　　要：[Objective] The aim was to study on RBF model about evaluation on carrying capacity of water resources based on standardized indices. [Method] The indices were transformed and the averages of standard values in different levels were taken as the standardized values of components of central vectors for basic functions of RBF hidden nodes. Hence, the basic functions are suitable for most indices, simplifying expression and calculation of basic functions. [Result] RBF models concluded through Monkey-king Genetic Algorithm with weights optimization are used in evaluation on water carrying capacity in three districts in Changwu County in Shaanxi Province, which were in consistent with that through fuzzy evaluation. [Conclusion] RBF, simple and practical, is universal and popular.[目的]研究基于指标规范值的区域水资源承载力评价的径向基函数网络模型(RBF)。[方法]在对指标进行规范变换的基础上,将指标各级标准规范值的平均值作为RBF的隐层节点基函数中心矢量各分量的规范值,因而基函数对各指标具有普适性,使基函数的表示和计算大为简化。[结果]将猴王算法优化网络权值得到的RBF模型应用于陕西省长武县3个区域水资源承载力的评价,其评价结果与模糊综合评价结果基本一致。[结论]RBF模型具有简单、实用的特点,具有普适性和通用性。

关 键 词：Indices standardization RBF Water resource Carrying capacity Evaluation model 

分 类 号：TV213.4[水利工程—水文学及水资源]