江西科学
江西科學
강서과학
JIANGXI SCIENCE
2011年
6期
755-757,770
,共4页
建筑物沉降%LSSVM回归%GM(1,1)模型%多项式回归%组合模型
建築物沉降%LSSVM迴歸%GM(1,1)模型%多項式迴歸%組閤模型
건축물침강%LSSVM회귀%GM(1,1)모형%다항식회귀%조합모형
Building subsidence,LSSVM regression,GM ( 1,1 ) model,Polynomial regression,Combination model
以上海某建筑物沉降观测数据为依据,构建一种新的组合预测模型,并对沉降数据进行预测,将预测结果与前人单项模型预测结果进行对比,结果表明组合预测模型预测结果要明显优于单项模型。
以上海某建築物沉降觀測數據為依據,構建一種新的組閤預測模型,併對沉降數據進行預測,將預測結果與前人單項模型預測結果進行對比,結果錶明組閤預測模型預測結果要明顯優于單項模型。
이상해모건축물침강관측수거위의거,구건일충신적조합예측모형,병대침강수거진행예측,장예측결과여전인단항모형예측결과진행대비,결과표명조합예측모형예측결과요명현우우단항모형。
This article established combination forecast model by using the observation statistics of building subsidence from one building of Shanghai and predicting the observation statistics of building subsidence. The results of combination forecast model forecasting are compared with the results of single forecasting. It has obviously superior forecasting accuracy.