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多元隶属函数在雹云识别中的应用 被引量:1

APPLICATION OF MULTIVARIATE MEMBERSHIP FUNCTION TO RECOGNIZE HAIL CLOUD
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摘要 为了探索建立多元隶属函数识别雹云的判别方程,本文将雹云和非雹云视作含参变量β的多因子线性模型,用最小二乘法确定参变量,并构造由多元隶属函数表示的判别方程,进而按样本的多元隶属度回报拟合最好原则确定雹云和非雹云的判别阈值λ0。用该方法建立了5个不同样本组合的雹云判别式,进行了效果检验,并与其它雹云判别法的结果相比较。 In order to set up the recognition equation of hail cloud by multivariate membership function,the approach in this paper is based on the consideration of a linear model of multi-factors including parameter variables(β) for hail cloud and thunder cloud. The parameter variable (β) is determined by the least square method and recognition equation of multivariate membership function is designed. The threshold value between hail cloud and thunder cloud is selected according to the best fitting of multivariate membership degree and practical cases. This method is applied to the recognition equation for 5 data sets,it is shown that the method have a good impact as compared with other recognition methods of hail cloud.
机构地区 成都气象学院
出处 《高原气象》 CSCD 北大核心 1994年第4期457-462,共6页 Plateau Meteorology
基金 国家气象局气象科学基金
关键词 多元隶属函数 雹云识别 最小二乘法 s:Multivariate membership function Recognition of hail cloud Least square method.
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