基于粗糙集—RBF网络的水环境质量评价方法  

Evaluation of water environmental quality using rough set—RBF network

作　　者：王佳[1] 于军琪[1] 郭春燕[1] 

机构地区：[1]西安建筑科技大学信息与控制工程学院,西安710055

出　　处：《计算机工程与应用》2009年第13期237-239,共3页Computer Engineering and Applications

基　　金：国家自然科学基金No.70371066~~

摘　　要：提出一种基于粗糙集—RBF网络复合的水环境质量评价方法,选取描述水环境质量的五项监测指标作为评价因子,利用粗糙集理论,构建水质级别知识表达系统,对水质监测数据进行属性约简,用约简后的规则集对RBF网络进行训练,提高了RBF网络在水质评价中的收敛性与非线性逼近能力。实验仿真表明:该方法使水质评价的结果更加科学、准确、及时,且通用性好,可广泛应用于环境保护与污染治理相关的水环境质量评价。A arithmetic for evaluation of water enviromental quality is proposed based on composite of Rough Set--RBF Network. Five monitoring indexes of water enviromental quality are utilized as the evaluation items,the rough set is used to build the water-level knowledge systems,the property of water quality monitoring data is reduced,and the reduetive regulation is used to train the RBF network,which can improve the ability of converge and nonlinear approaching of RBF network in evaluation of water quality.The simulation results indicate that the method makes the results of evaluation of water quality more scientific, accurately,promptly,and universally,it can be widely used in evaluation of water environmental quality related to environmental protection and pollution control.

关 键 词：粗糙集 径向基函数网络 水环境质量评价 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]