均生函数,mean generating function
1)mean generating function均生函数
1.Model ofmean generating function field of precipitation prediction between June and August in Baiyin;白银市6-8月降水气候预测的均生函数场模型
2.The primitive rainfall series are reconstructed as independent variables by singular spectrum analysis and restructured as dependent variables bymean generating function.本文采用奇异谱分析(S ingu lar Spectrum A na lys is,SSA)方法对原始降水序列重构,并用均生函数(M eanG enerating Function,M GF)方法对重构系列构造延拓矩阵,以此作为自变量,原始降水序列作为因变量,再利用偏最小二乘法提取对因变量影响强的成分作为神经网络的输入因子,原始序列作为输出因子,建立神经网络预测模型。
3.Amean generating function model is used in the experiment of short-term climate prediction.讨论了克州地区气温突变及年代际变化特征 ,并利用均生函数预测模型对克州地区气温进行预测试验。
英文短句/例句
1.Using Mean Generating Function Forecast Summer Rainfall and High Temperature Days in Jiaozuo利用均生函数预测焦作夏季降水及高温日数
2.Forecasting of Annual Precipitation Based on Model of Average-growing Function in Hangzhou City基于均生函数模型的杭州市年降雨量预测
3.Research on Prediction of Rock or Coal Outburst by Means of EME Method Based on Mean Generating Function Model基于均生函数模型的冲击矿压电磁辐射预测研究及其应用
4.Automatic Generating of Transfer Function Based on K-means Clustering in Direct Volume Rendering基于均值聚类的体绘制中传递函数的自动产生
5.Generation method of walsh function based on balanced matching property基于均衡搭配性质的沃尔什函数生成方法
6.One Hybrid Mean Value Formula Involving Smarandache Function一个包含Smarandache函数的复合函数的均值
7.On the weighted mean of Dirichlet L-function;Dirichlet L-函数加权均值(英文)
8.Hybrid mean value on some Smarandache functionsSmarandache函数的混合均值(英文)
9.The Mean Value of Smaradache Double Factorial FunctionSmaradache双阶乘函数的均值
10.The Vertical Representation of a Density and It s Application of Generating Random Vector for the Non-uniform Distribution with Given Density;密度函数垂直表示及在非均匀随机数生成中的应用
11.The Mean Value of Arithmetic Function on Special Sequencs关于一些特殊数列上数论函数的均值
12.Mean Value and Convergence on Some Arithmetical Functions;一些数论函数的敛散性及其均值估计
13.A Symmetric Mean about Weakly Logarithmically Convex Function;一类关于弱对数性凸函数的对称平均
14.Inequalities For Two-Parameters Weighted Mean of Convex Function;关于凸函数的双参数加权平均不等式
15.The Mean Value of Several Kinds of Smarnadache Function几个Smarandache数论函数的均值性质
16.Mean Value of the Square Root Sequence and Arithmetical Function U(n)平方根序列和数论函数U（n）的均值
17.On the Three Power Mean Value Formula of Fibonacci Sequence关于Fiboancci计数函数三次均值的计算
18.The Quadratic And Cubic Means for Numbers and Functions of the Base nn进制中数字和函数的二次、三次均值
相关短句/例句
mean generation function均生函数
1.A mixed prediction model involving the significant period of a predictand and the physical factors influencing the future change of predictand is build based on the artificial neural network in combination with multivariate analysis andmean generation function.利用人工神经网络方法结合均生函数和多元分析方法,提出了一种同时考虑预报量自身显著变化周期和外生变量因子对预报量未来变化影响的混合预报模型。
2.In terms of artificial neural network method,mean generation function and stepwise regression analysis,a prediction model for the annual number of tropical cyclones affecting Guangxi is developed in this paper.利用人工神经网络方法、结合均生函数和逐步回归分析方法对影响广西的热带气旋年频数序列进行神经网络的预测模型研究。
3.By using muti-variable mean generation f uncti on of the predictand and its predictor, themean generation function is orthogon alized by means of the Gram-Schmidt s method.用预报量与多变量预报因子的均值生成函数 ,通过 Gram- Schmidt正交化使均值生成函数彼此正交 ,同时利用双评分准则确定入选预报模型的均生函数个数 ,最后建立山西省季节降水的预报模型。
3)mean value generation function均生函数
1.Secondly,amean value generation function model has been established to predict the total amount of surface water of Jiangxi province in the future.其次，建立均生函数预测模型，对未来我省地表水资源总量进行了预测分
4)MGF均生函数
1.The Application ofMGF Model in Long-range Prediction;均生函数模型在长期天气预报中的应用
2.A combination model forecasting approach combining wavelet transform(WT) and mean-generating func-tion(MGF) period extrapolation is presented in the paper.提出了利用小波变换和均生函数周期外推组合模式进行时间序列长期预测的方法。
5)average production function平均生产函数
1.Using Cobb-Douglasaverage production function model,cotton technological progress for thirteen provinces in China from 1998 to is analyzed in this paper.主要利用平均生产函数对我国13个棉花主产省区1998—棉花的技术进步贡献率进行了测算。
6)Mean Generating Function(MGF)均值生成函数
1.A BP neural network multi-step prediction model with the Mean Generating Function(MGF) prolongation matrix of the reconstruction series as the input factor,and the original sample series as the output factor has been formulated.采用奇异谱分析(Singular Spectrum Analysis,SSA)方法对标准化样本序列进行准周期信号分量重建,将重建序列构造均值生成函数(Mean Generating Function,MGF)延拓矩阵作为输入因子,原样本序列作为输出因子,构建BP神经网络多步预测模型。
延伸阅读
函数的均方逼近函数的均方逼近ion mean- square approximation of a fimc-函数的均方通近t~一阅砚“e aP声0刘政班七闭ofa血仪确桩叨;cPe职~.j甲~eCKOe .P“6~e抓e中翔城””}函数甲(0对函数f(0的一种逼近，逼近的误差度量拼(f;中)由下式定义:b ;。(f;，)一J of(:)一，(。)]’过。(。)，其中口(t)是【a，b]上异于常数的非减函数.设ul(t)，“2(t)，·…(*)是汇a，bI上关于分布d。(t)的一个规范正交系(。找honormals够teTn).当用线性组合艺:一、、、。*(:)对函数f(t)作均方逼近时，对每个n二l，2，…，最小误差由和式 艺c*(f)u*(亡)k二I给出，其中，c*(f)是函数f(t)关于函数系(*)的F以耐er系数(Fou丁(r以祀伍cients);因此，最好的逼近方法是线性的.【补注】亦见平均逼近;函数逼近;函数逼近，线性方法;最佳逼近;最佳平均逼近;最佳线性方法.
