均生函数预测模型,mean generation function model
1)mean generation function model均生函数预测模型
1.Some computing cases are given which showthat the forecasting accuracy of themean generation function model is satisfactory, and the organic combination of EME method andmean generation function model can predict the coal or rock dynamic disasters efficiently.在非接触电磁辐射法动态预测煤岩动力灾害的基础上提出了一种新的动态数据建模法——均生函数预测模型。
2)mean generation function model(MGF)均生函数预测模型(MGF)
3)Residual error forecast model of average-growing function均生函数残差预报模型
4)forecast model of average-growing function均生函数预报模型
1.This paper presents the residual errorforecast model of average-growing function by using its residual error data sequence to adjust the model based on the finished forecast model.在均生函预报模型的基础上,利用其残差数据序列对均生函数预报模型进行校正,提出了均生函数残差预报模型。
5)model of average-growing function均生函数模型
1.Based onmodel of average-growing function,the yearly precipitation from 1956 to in Hangzhou was modelled and forecast.采用均生函数模型对杭州市1956~年降雨量进行预测模拟,并对模型进行了修正。
英文短句/例句
1.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
2.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
3.The Functional-Coefficient Autoregression Forec AST Model of Per Capita GDP of China;中国人均GDP的函数系数自回归模型的预测研究
4.Expected Discounted Penalty of Mixed Exponential Renewal Process;混合指数更新模型下平均折现惩罚函数
5.Quasi-uniform B-spline Function Using in Digital Terrain Model;准均匀B样条函数在地形模型中的应用
6.Minimax estimation of parameters in production function model and its applications;生产函数模型中参数的Minimax估计及应用
7.A Study about Value Chain Management Model of Quasi-Production Function;类生产函数企业价值链管理模型研究
8.Portfolio generating functions with stock price jumps;跳跃股价模型下投资组合的生成函数
9.Model for Population Growth with Usual Child-rearing Cost and Utility Function;具一般生育成本函数的人口增长模型
10.SIMULATION OF AREAL SPOT MARKET BASED ON SUPPLY FUNCTION EQUILIBRIUM MODEL;基于供给函数均衡模型的区域电力现货市场模拟分析
11.On Production Function Model of State-owned Large-sized Enterprises Talent Scale Control;大型国有企业人才规模控制的生产函数模型
12.Parameter Production Function Estimation Model Based on Non-parameter DEA Front Line;基于非参数DEA前沿的参数生产函数估计模型
13.All Admissible Estimators of the Function of Mean Matrix in Multivariate Linear Models多元线性模型中均值矩阵的函数的所有可容许线性估计
14.Equilibrium Effects Analysis on Horizontal Merger: A Merger Model Based on Supply Function Competition;横向兼并的均衡影响分析——基于供给函数竞争的兼并模型
15.PIECEWISE LINEAR SUPPLY FUNCTION EQUILIBRIUM MODEL FOR POWER GENERATION MARKETS WITH FORWARD CONTRACTS;考虑远期合同交易的发电市场分段线性供应函数均衡模型
16.Short-Term Load Forecasting Based on ARIMA Transfer Function Model基于累积式自回归动平均传递函数模型的短期负荷预测
17.Both of the human model and the wheelchair model can be varied in size.轮椅模型和人体模型的生成均实现了参数化。
18.Survival Function Model and Its Application in Life Table Making;生存函数模型及其在生命表制作中的应用
相关短句/例句
mean generation function model(MGF)均生函数预测模型(MGF)
3)Residual error forecast model of average-growing function均生函数残差预报模型
4)forecast model of average-growing function均生函数预报模型
1.This paper presents the residual errorforecast model of average-growing function by using its residual error data sequence to adjust the model based on the finished forecast model.在均生函预报模型的基础上,利用其残差数据序列对均生函数预报模型进行校正,提出了均生函数残差预报模型。
5)model of average-growing function均生函数模型
1.Based onmodel of average-growing function,the yearly precipitation from 1956 to in Hangzhou was modelled and forecast.采用均生函数模型对杭州市1956~年降雨量进行预测模拟,并对模型进行了修正。
6)residual error model of fuzzy average-generated function (REMFAF)模糊均生函数残差模型
1.On the basis of fuzzy average-generated function model (FAFM), its residual error data series has been used to calibrate FAFM, and residual error model of fuzzy average-generated function (REMFAF) has been presented and the method of model accuracy validation has also been given.在模糊均生函数模型(FAFM)基础上,利用其残差数据序列对FAFM进行校正,提出了模糊均生函数残差模型(REMFAF),给出了模型预报精度的检验方法。
延伸阅读
回归模型预测法回归模型预测法【回归模型预测法】简称“回归预测法”，以定量研究变量间相关关系的回归方法为基础的预测方法。基本思路是:通过样本信息，分析预测对象与有关因素之间的总体相关关系，设定适当的数学模型(称为总体回归模型)将这种相关关系的类型表达出来;然后再利用样本信息，运用参数估计法，建立反映预测对象与主要相关因素之间总体关系的样本回归模型;进行必要的检验;最后根据已建立并通过检验的样本回归模型，来预测研究对象的未来状况。其中，在预测之前所做的那些工作，包括模型设定、参数估计和模型检验，统称为回归分析。由回归方法建立起来的数学模型，就称为回归模型。它一旦用于预测，又可称为预测回归模型。回归模型可分为线性回归模型和非线性回归模型，也可分为一元回归模型和多元回归模型。回归预测法，有比较严密的理论基础和较成熟的计算分析方法，如果模型建立得当，则可得到比较精确的预测结果。
