基于MATLAB实现的ANN方法在地下水质评价中的应用  

The Application of ANN Realized by MATLAB to Underground Water Quality Assessment

作　　者：罗定贵[1,2] 王学军[1] 郭青[3] 

机构地区：[1]北京大学环境学院,北京100871 [2]东华理工学院,土木与环境工程系,抚州344000 [3]东华理工学院,电子与自动化系,抚州344000

出　　处：《北京大学学报（自然科学版）》2004年第2期296-302,共7页Acta Scientiarum Naturalium Universitatis Pekinensis

基　　金：国家自然科学基金专项基金资助项目 (4 0 2 4 2 0 1 8)

摘　　要：MATLAB 6 .5工具箱提供了径向基网络的实现函数 ,该算法具有自适应确定网络结构和无需人为确定网络初始权值的特点。将其应用于抚州市地下水环境质量评价 ,并尝试利用MAT LAB的PREMNMX函数进行原始数据预处理、利用RAND函数在水质评价标准等级间内插构造足够数量的训练样本、检测样本及其目标输出、确立水质评价等级界限 ,取得良好的评价结果 。The realizing function of RBF network is provided in the toolbox of MATLAB 6.5 and the method of calculating this function possesses properties such as adaptation for determining the construction network and independence of initial weight value on person. A favorable outcome appeared after we apply this function to evaluating the quality of the underground water environment in FuZhou City, attempting to use the RAND function in MATLAB to construct enough training samples, checking samples and outputs of their targets through interpolation between grades of the water quality evaluation standard, use the PREMNMX function to pretreat the original data,determine the limits of water quality grades . The methods in this paper is meaningful in improving the precision and objectivity of underground water environment quality evaluation.

关 键 词：地下水 环境质量评价 RBF网 人工神经网络 

分 类 号：X824[环境科学与工程—环境工程]