The results show that the maximum regression and prediction relative errors are not greater than 6.5%.
结果表明，支持向量机回归和预测的最大相对误差不超过6 5%。
When applied to regression and prediction, we often call SVM as support vector regression machine SVR.
当sVM用于回归分析和预测时，通常称其为支持向量回归机svr。
The comparison of the test data with measurement data shows that the regression and prediction with the SVR method are highly accurate.
然后应用SVR方法对系统效率测试原始数据进行双边延拓，对延拓后的数据信号进行经验模式分解。
Finally, the results show the methods can effectively come into being regression analysis model of time-series data streams, and fulfill the prediction of future data streams.
最后，试验分析展示了研究结果能够有效地产生时间序列数据流的回归模型和实现数据流未来数据的预测。
The prediction formula and its error estimation are also established. Its regression and time-varying autoregression model is presented.
在此基础上建立时变序列预测公式及误差估计公式，给出其回归与时变自回归模型。
And based on this, a simple method for performance prediction by using linear regression analysis is put forward.
在此基础上提出了应用线性回归分析进行动态预测的简便方法。
On the basis of frontal advance theory, and combining experience regression method, a prediction model for predicting production and water cut changing law is established.
综合运用前缘推进理论和经验回归方法，建立起一种聚合物驱产量和含水率变化规律的预测模型。
Based on modified Arrhenius formula, an integral method and a two-step regression method for storage life prediction of solid propellant are presented.
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。
A method to use the grey prediction model and geometric regression model to predict the daily load curve of power systems during the great holiday is proposed. A relevant software is presented.
本文提出了运用灰色预测模型和几何回归模型预测重大节日期间电网日负荷曲线的方法，并编制了相应软件。
Based on the analyzing of costs sample of equipment, set up prediction model of economic life of equipment, considering the middle-linear regression method and period value of costs.
通过对设备费用样本的分析，采用了中间线性回归方法和考虑了货币的时间价值，建立了符合缺省数据费用样本的设备经济寿命预测模型。
The results of application of PPR model to the precipitation prediction in three regions are better than that of stepwise regression for fitting and prediction.
在三个地区应用ppr进行降水量预测建模、模型的拟合及预留预测检验结果均好于逐步回归建模的相应结果。
Based on the basic principle and modeling method of partial least-square regression (PLSR), establishing the mathematical model for parameter prediction of the steam turbine units.
根据偏最小二乘回归的基本原理和建模的基本思路，建立数学模型并将其应用于电厂机组的参数预测中。
Then, stepwise regression analysis is used to select a best group of factors for the prediction of expressway incident duration, and the multiple linear regression model is established.
在此基础上，通过逐步回归分析确定用于高速公路事件持续时间预测的最佳变量组合并建立多元线性回归模型。
The data simulation in different manners, regression of multiple variables, and prediction of experimental data can be achieved by using of this software.
结果表明，软件可以实现数据的不同方式拟合、多变量数据回归和未知实验数据点预测。
The traditional logistics transportation amounts prediction ways mainly indicate liner regression and time sequence model.
传统的物流运输量预测技术大多采用线性回归和时间序列技术。
As a whole, the prediction result from seasonal threshold regression model and seasonal artificial neural network model is better than other models.
通过多种可能性分析，以新预测模型季节性门限回归模型和季节性人工神经网络模型效果较为突出。
And In order to extract gaze features, the Generalized Regression Neural Networks is used for gaze position prediction;
使用了广义回归神经网络预测视线的位置，从而提取视线运动参数；
This article mainly introduces the principle of the prediction for auto regression modeling and recommends the AR arithmetic of prediction for ship pitching motion in detail.
介绍了自回归时间序列分析法的建模预报原理，并给出了船舶纵摇运动预报应用实例。
It is found that it is better to predict the return rate with general regression neural network than with grey prediction and multiple regression model.
再以广义回归神经网络建立预测模型，与灰预测模型、多元回归模型进行预测能力及报酬率的比较分析。
Optimization means include improvement of prediction strategy, theoretical formula calculation instead of empiric constants, and correction of formula factors with actual data regression.
其中优化手段主要包括预测策略的改进，采用理论公式计算值替代经验常数，通过实际数据回归修正公式系数等。
The model is tested and result shows that this prediction model is significantly better than traditional regression model, and it has a good prospect in business application.
结果表明，该预报模型对历史样本拟合精度高，试报效果明显好于传统的逐步回归模型，可在汛期预测业务中应用。
The results showed that the prediction precision of the fusion model is the highest, ANN model in the second place, and the regression model in the end.
结果表明，融合预测模型的精度最高，神经网络模型次之，而回归模型精度最低。
The Support Vector Regression(SVR)is used for the time series analysis and prediction to resolve the complex nonlinear system modeling problems.
用支持向量回归（SVR）的方法分析和预测时间序列，可解决复杂非线性系统的建模问题。
It is shown by the CART test that the classification and regression tree can satisfactorily accomplish the task of classification and prediction of the joint of welded spot.
CART测试结果表明，分类回归树可以较为满意地完成焊点接头强度的分类、预测任务。
Near infrared prediction model was established to predict content of nicotine in tobacco. Evaluation on the prediction results was made by regression analysis and hypothesis testing.
以烟碱为例，建立了近红外光谱的预测模型，采用回归分析法和假设检验法对该模型的预测效果进行了系统的评价。
The paper also adopts the multiple regression analysis to construct the world excellent decathletes achievement prediction model and test the model's effect.
另外采用多元回归分析法建立了世界优秀十项全能运动员成绩预测模型并对其预测准确度进行了检验。
Finally, the results of regression and factors effected the accuracy of prediction were discussed.
最后，对回归分析的结果和影响预测精度的因素进行了讨论。
The examples indicate that using regression model instead of process and device modelling is superior in process optimized design and device performance prediction.
实例表明，在工艺优化设计和器件性能预测中用回归模型代替工艺-器件模拟具有较大的优越性。
The examples indicate that using regression model instead of process and device modelling is superior in process optimized design and device performance prediction.
实例表明，在工艺优化设计和器件性能预测中用回归模型代替工艺-器件模拟具有较大的优越性。
应用推荐