土地利用变化；驱动力；灰色预测；回归预测；浙江省。
Land use change; Driving force; Grey forecast; Regression forecast; Zhejiang province.
作者提出一种更简便的预测方法——加权一元线性回归预测法。
The author proposed a simpler forecast method -weighting single regression linear return forecast method.
得到的回归预测方程能有效预测不同铅浓度对水稻种子活力的影响。
The gained predicting equation of regression could predict the effects on rice seed vigour at different Pb concentrations.
同时，分别建立了回弹量的线性回归预测模型和BP神经网络预测模型。
Meanwhile, a linear regression model and a BP neural network model for predicting the springback quantity were set up.
相关分析和回归预测分析均表明土壤养分对土壤重金属含量有较大影响。
Correlation and regression analyses showed that soil nutrients contributed substantially to heavy metal contents in the so...
利用统计方法对影响企业产品销量的相关分析和回归预测，并提出了相关建议。
With statistics methods some relevant elements which have influence on sales and products structure is analysed, the regression calculation is done and some related Suggestions are made.
文章提出了PSO优化参数的SVM回归预测模型，并将其用于短期电力负荷预测。
A short-term load forecasting model based on SVM is presented in which the parameters in SVM are optimized by Particle Swarm Optimizer (PSO).
具体如回归预测法、指数平滑法、灰色模型预测法、BP神经网络法、RBF神经网络法。
Such as the return of specific prediction method, smoothing index, grey model prediction, BP neural network, RBF neural network .
基于变分贝叶斯及相空间重构理论，提出了含噪混沌时间序列相空间域线性回归预测模型。
We present a linearly regressive prediction model for noisy chaotic time series phase space based on variational Bayesian and phase space reconstructive theory.
该思想与各类具体算法相结合在其他领域已有很多应用，其中包括了数据降维和回归预测。
The thinking combined with various specific algorithm have many applications in other fields, including data Dimension reduction and regression forecast.
由于客观世界上存在灰色信息，而通常的回归预测法中为了问题的简单化不考虑灰色信息。
In order to simplify the problem in regression forecasting, we don t often consider gray information.
提出一种基于局部加权回归预测球运动轨迹的学习方法，尤其是球与边界碰撞后的运动轨迹。
Thirdly, a learning method based on Locally Weighted Regression is proposed to forecast the motion of the ball, especially after the ball bump into wall.
在修正的阿伦尼斯公式基础上，提出固体推进剂贮存寿命的整体预测方法和两步回归预测方法。
Based on modified Arrhenius formula, an integral method and a two-step regression method for storage life prediction of solid propellant are presented.
最优子集回归预测方法在天气预报等领域得到了越来越广泛的应用，方法本身没有涉及到图形处理。
The optimum subset regression prediction method is used widely in weather forecasting fields, but it doesn't mention the graphic processing.
本课题的成果对于税收收入预测体系，特别是基于回归预测和滚动预测的方法具有一定的参考价值。
The result of the thesis certainly has reference value to revenue prognostic system, especially to the method of regression forecast and roll forecast.
本文将利用线性回归预测的方法，对节块合金胎体的硬度与合金主要成分之间的关系进行初步的探讨。
The linear regression calculation method was used in studying the relationship between hardness of alloy and its composition.
文中给出RTVAR模型和GRTVAR模型参数的估计方法，并建立广义回归—时变自回归预测公式。
The parameter estimation of RTVAR and GRTVAR models and the GRTVAR prediction formulas are also established.
最小二乘支持向量机回归预测对训练样本数据区间内的预测精度很高，但是对前向外推预测效果不是很好；
RBF neural network is applied to time series forecast with the same data in order to compare the forecast effect with LS-SVM model.
论文采用回归分析预测法建立了一元回归预测模型来预测公司近期2009年至2013年公司的货运需求。
Paper establishes a regression prediction model to predict the company's freight demand from 2009 to 2013.
结果表明，PPR模型的预测效果明显优于逐步回归预测模型，对福建热带气旋年季频数具有较好的预测能力。
The results show that the forecasting precision of the PPR model is much better than that of stepwise regression (SR) model.
证明了利用反双曲正弦函数变换能提高数据列的光滑程度，给出了改善的自回归预测方法，并且举例加以论证。
This paper proves that the smooth degree of a data row can be increased by transforming the counter-hyperbolic sine function.
提出了“利用反双曲正弦函数变换提高数据列光滑程度”的新结论，获得了递增时间序列改善的自回归预测新方法。
A new conclusion is put forward, in which the smooth degree of the data row can be enhanced by means of the arc-hyperbolic sine function transformation.
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。
The multiple linear regression model for forecasting the electricity demand and factors affecting it was established consequently and was optimized by regression tests.
分析了上海1995—2004年度每年垃圾产生量的数据，由此提出了可应用于城市垃圾预测的多元线性回归预测模型。
Analyzed the Shanghai for 1995 to 2004 year trash to have the quantity data every year, from this proposed might apply to the town refuse forecast many Yuan linear return forecast model.
提出一种 自适应 自回归（ADAR）预测模型，可根据谐波过程特性变化 自适应 调整 自回归预测模型的参数乃至结构。
ADAR(ADaptive AR) predicting model is presented, whose parameters and exponent number can be adaptively tuned according to the characteristic variation of harmonic.
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。
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.
结果显示，把最小二乘支持向量机回归预测与等步长时序预测相结合的预测方法应用于地下工程围岩位移监测数据的分析及预测是可行的；
Combining the advantages of regression analysis methods and time series forecast model with equal step length, a compound forecasting model was set up , and was tested with engineering data.
含佯谬回归系数的回归模型未必都不科学，在某些特定条件下，有些含佯谬系数的回归预测模型可科学合理地反映研究对象的客观变化规律。
Under given conditions, the some regression forecasting models of containing feign mistake regression coefficient, exactly correspond to the objective law of the target of study.
含佯谬回归系数的回归模型未必都不科学，在某些特定条件下，有些含佯谬系数的回归预测模型可科学合理地反映研究对象的客观变化规律。
Under given conditions, the some regression forecasting models of containing feign mistake regression coefficient, exactly correspond to the objective law of the target of study.
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