山西建筑
山西建築
산서건축
SHANXI ARCHITECTURE
2011年
32期
59-60
,共2页
Gompertz曲线模型%灰色理论模型%BP神经网络模型%沉降预测
Gompertz麯線模型%灰色理論模型%BP神經網絡模型%沉降預測
Gompertz곡선모형%회색이론모형%BP신경망락모형%침강예측
Gompertz curve model%grey theory model%BP neural network model%settlement prediction
利用Gompertz曲线模型、灰色理论模型和BP神经网络模型等单一预测模型对基坑周围建筑物沉降进行预测,之后将结果与三者优化组合模型的预测结果进行比较分析,结果表明：单一模型预测结果的精度比三者优化组合模型的精度较低,而其中通过最优加权法组合的模型预测精度最高。
利用Gompertz麯線模型、灰色理論模型和BP神經網絡模型等單一預測模型對基坑週圍建築物沉降進行預測,之後將結果與三者優化組閤模型的預測結果進行比較分析,結果錶明：單一模型預測結果的精度比三者優化組閤模型的精度較低,而其中通過最優加權法組閤的模型預測精度最高。
이용Gompertz곡선모형、회색이론모형화BP신경망락모형등단일예측모형대기갱주위건축물침강진행예측,지후장결과여삼자우화조합모형적예측결과진행비교분석,결과표명：단일모형예측결과적정도비삼자우화조합모형적정도교저,이기중통과최우가권법조합적모형예측정도최고。
This paper made prediction to foundation pit surrounding building settlement using the Gompertz curve model,grey theory model and BP neural network model and other single forecasting model,later made comparative analysis on results and prediction results of three portfolio optimization model,the results showed that the results accuracy of single predict model was lower than three portfolio optimization model,and the forecast accuracy of optimal weighted combination model was the highest.
