山东理工大学学报(自然科学版)
山東理工大學學報(自然科學版)
산동리공대학학보(자연과학판)
JOURNAL OF SHANDONG UNIVERSITY OF TECHNOLOGY(SCIENCE AND TECHNOLOGY)
2015年
4期
53-55
,共3页
回归分析%时间序列%组合模型
迴歸分析%時間序列%組閤模型
회귀분석%시간서렬%조합모형
regression analysis%time series%combined model
为了提高变形预测的精度,获得可靠有效的预报模型,通过对回归模型残差项的进一步分析,利用Eview s对残差序列建立了时间序列模型,从而得到了回归和时间序列组合模型。利用该模型对一组实测数据进行分析、预测,并将变形数据和实测数据进行比较,证明了组合模型具有更好的预测精度和可靠性。
為瞭提高變形預測的精度,穫得可靠有效的預報模型,通過對迴歸模型殘差項的進一步分析,利用Eview s對殘差序列建立瞭時間序列模型,從而得到瞭迴歸和時間序列組閤模型。利用該模型對一組實測數據進行分析、預測,併將變形數據和實測數據進行比較,證明瞭組閤模型具有更好的預測精度和可靠性。
위료제고변형예측적정도,획득가고유효적예보모형,통과대회귀모형잔차항적진일보분석,이용Eview s대잔차서렬건립료시간서렬모형,종이득도료회귀화시간서렬조합모형。이용해모형대일조실측수거진행분석、예측,병장변형수거화실측수거진행비교,증명료조합모형구유경호적예측정도화가고성。
In order to improve the accuracy of predicting the deformation ,and abtain reliable and effective forecasting models ,We further analyzed the residuals of the regression model ,and built a time series model ,a combination of the regression and time series models with the rasidual se‐ries sing eviews .Using this model ,a set of measured data was analyzed and forecasted ,and the deformation data and measured data are compared .The results showed that the combination mod‐el had better prediction accuracy and reliability .