Then local linear forecasting model is established. The result shows the method…
预测结果检验显示，该方法具有较好的预测效果。
In this paper, a method for modifying linear forecasting model to potential analysis forecasting model is discussed, and the distribution of forecasting value is given by using numerical simulation.
本文讨论把线性预测模型修改成势分析预测模型，并用数值模拟方法给出预测值分布的方法。
Fourthly, using this model based on risk nonlinear addition solves the portfolio's risk linear addition problem in SPAN system, and this will help us to get more practical forecasting value.
四是通过基于风险非线性叠加建立的期货组合风险评价模型解决了SPAN系统中期货组合风险的线性叠加问题，从而得到更合理的组合风险预测值。
Based on local linear prediction model of chaotic time series, short-term load forecasting method on multi-embedding dimension is presented.
基于混沌时间序列的局域线性预测模型，提出了多嵌入维的短期负荷预测方法。
The linear autoregression model with input variables is a comprehensive forecasting model which is superior to the conventional model for phenological forecast.
带输入项的线性自回归模型是一种综合性预测模型，较之常用的树木物候预测模型更为优越。
According to the economic indices of recent years, this paper constructs an econometric model of civil automobile by linear regression method and does some estimating and forecasting.
本文根据近年来国内各项经济指标，运用线性回归方法建立了民用汽车需求的计量经济模型，并对模型进行评价和预测。
The multiple linear regression model for forecasting the electricity demand and factors affecting it was established consequently and was optimized by regression tests.
建立了用电需求量与主要影响因素之间的多元线性回归预测模型，经过回归检验，确定了优化的多元线性回归预测模型。
Linear perturbation model to the tidal level forecasting for Nanjing and Zhen Jiang stations are discribed.
本文试图用线性扰动河流预报模型对长江南京站、镇江站的潮水位进行预报。
The forecasting method based on non linear chaotic model is not only reliable to small data sets, but also of little account amount and easy to handle.
这种建立在非线性混沌改进模型基础上的预测方法不仅对小数据组可靠，而且计算量小、相对容易操作。
The result shows that the combination forecasting model is of higher precision and more reliability comparing with the grey forecasting and non-linear models.
结果表明，与单项预测模型相比，组合模型的预测精度高，预测结果更加可靠。
This paper introduces the feasibility of inner recursion networks using in non-linear ARMA model approaching and time series forecasting.
该文介绍了内回归神经网络逼近非线性ARMA模型、用于时间序列预测的可行性。
Based on these, multiple linear regression, LMBP, MOBP, VLBP and BRBP model are used to forecast oil-gas prospecting cost, and each of their forecasting performances is compared.
在此基础上，采用了多元线性回归模型、LMBP模型、MOBP模型、VLBP模型与BRBP模型对油气勘探成本进行预测，并对各模型的预测性能进行了比对。
A linear ar model is set up to be applied in real-time flood forecasting. Two criterion AIC and BIC are used to decide the exponent number of the linear ar model.
建立线性自回归模型，应用于洪水实时预报，并应用aic、BIC这两种准则以确定自回归模型的阶数。
In first the linear regression model resulted from least square method is presented and its disadvantage is analyse, great forecasting error exists when extreme abnormal case exists.
本文先介绍了用最小二乘法进行线性回归预测的方法，并分析了其不足，即当存在着极端的异常情况时，往往存在着较大的预测误差。
Based upon the theory of combined forecasting, up-standing identity of BP neural network on approaching non-linear data, put forward a combined forecasting model for civil motors.
文章根据组合预测的理论和BP神经网络对非线性数据良好的逼近特性，提出了基于BP神经网络的灰色预测、多项式回归模型的民用汽车运力组合预测模型。
The practical case results illustrate that the linear expenditure system model is applicable for residential electricity demand analysis and forecasting.
根据扩展线性支出系统理论建立电力消费的需求函数，并对居民电力消费需求的收入弹性、价格弹性进行定量分析。
The practical case results illustrate that the linear expenditure system model is applicable for residential electricity demand analysis and forecasting.
根据扩展线性支出系统理论建立电力消费的需求函数，并对居民电力消费需求的收入弹性、价格弹性进行定量分析。
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