基于RBF的指标规范值的水资源承载力评价模型  

Evaluation Model of Carrying Capacity of Water Resources Represented with Normalized Indices Values Based on Radial Basis Function Neural Network

作　　者：臧蕾[1] 刘伟[1] 李祚泳[1] 

机构地区：[1]成都信息工程学院,四川成都610225

出　　处：《安徽农业科学》2012年第4期2166-2167,2218,共3页Journal of Anhui Agricultural Sciences

基　　金：国家自然科学基金项目(41101542);成都信息工程学院科研基金(KYTZ201013)

摘　　要：[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。[Objective] The aim was to study the assessment model of carrying capacity of water resources represented with normalized indices values based on radial basis function network（RBF）.[Method] On the basis of the normalized transformation for indices,the basis function of model was universal for various indices and made representative calculation greatly simplified,as mean as normalized values of standards at all levels as the normalized values of each component of center vector for the basis functions in hidden nodes.[Result] The RBF model optimized weight values by monkey king algorithm was applied to assess the carrying capacities of water resources in three districts of Changwu County of Shaanxi Province,the evaluation results were basically consistent with that of fuzzy assessment method.[Conclusion] RBF model is simple and practical,and has universality and generality.

关 键 词：指标规范化 径向基函数 水资源 承载力 评价模型 

分 类 号：P209[天文地球—测绘科学与技术]