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正交函数展开的英文

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"正交函数展开"怎么读用"正交函数展开"造句

英文翻译手机手机版

  • orthogonal expansion

例句与用法

  • There are obvious interannual variations in spring precipitation in shandong province , and the oscillation period is about 4 . 8 - 6 year
    应用自然正交函数展开( eof )方法,分析了山东省38年春季月、季降水量。
  • Based on the empirical orthogonal function ( eof ) , the characteristics of large scale variations of precipitation anomaly during rainy season ( from jun to aug ) in south - west china for the period 1961 1995 is analyzed , and the teleconnection distribution charac - teristics between sea surface temperature ( sst ) over india ocean and precipitation during rainy season in south - west china were studied by using the method of cca
    用自然正交函数展开方法对1961 1995年西南汛期( 6 8月)降水大尺度变化特征进行分析,并在此基础上用典型相关分析方法研究了1 8月印度洋海温距平场与西南汛期降水场的遥相关分布特征。
  • Upon using an artificial neural network ( ann ) a new short - term climate forecast model with the monthly mean rainfall in june in the north of guangxi as predictand is established making empirical orthogonal functions ( eof ) to the 36 predictors ( 15 ssa predictors , 21 500hpa height predictors ) with over 0 . 05 significant correlation level of previous 500hpa height and sea surface temperature ( sst ) field , and selecting the high relative principal components , at the same time , a new approach of constructing ann learning matrix is developed . predictive capability between the new model ( principal components ann model ) and linear regression model for the same predictors is discussed based on the independent samples and historical samples
    本文通过对广西北部6月平均降水量(预报量)同北半球月平均500hpa高度场和北太平洋月平均海温场进行相关普查,选取了前期36个同预报量相关显著水平达到0 . 05以上的预报因子( 15个海温场预报因子, 21个高度场预报因子) ,并运用自然正交函数展开方法对这36个前期预报因子展开,取其中同预报量相关程度高的主成分,结合人工神经网络技术,提出了一种新的构造人工神经网络学习矩阵的方法,建立了一种新的短期气候预测模型。
用"正交函数展开"造句  
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