人民黄河
人民黃河
인민황하
Yellow River
2014年
9期
101-104
,共4页
边坡%位移预测%自适应滤波%LMS算法
邊坡%位移預測%自適應濾波%LMS算法
변파%위이예측%자괄응려파%LMS산법
slope%displacement prediction%adaptive filtering%LMS algorithm
准确预测边坡位移可以有效判断边坡的安全状态和稳定性。针对边坡位移随时间的自适应变化特征,采用自适应滤波理论建立边坡预测模型,并利用最小均方(LMS)算法进行求解,同时给出了确定初始参数和模型检验的方法。在此基础上,将该模型应用于实际工程的边坡位移预测,研究结果显示,该模型的预测值与实测值吻合程度很高,具有良好的逼近能力和外推能力,以及较高的预测精度和可靠性。
準確預測邊坡位移可以有效判斷邊坡的安全狀態和穩定性。針對邊坡位移隨時間的自適應變化特徵,採用自適應濾波理論建立邊坡預測模型,併利用最小均方(LMS)算法進行求解,同時給齣瞭確定初始參數和模型檢驗的方法。在此基礎上,將該模型應用于實際工程的邊坡位移預測,研究結果顯示,該模型的預測值與實測值吻閤程度很高,具有良好的逼近能力和外推能力,以及較高的預測精度和可靠性。
준학예측변파위이가이유효판단변파적안전상태화은정성。침대변파위이수시간적자괄응변화특정,채용자괄응려파이론건립변파예측모형,병이용최소균방(LMS)산법진행구해,동시급출료학정초시삼수화모형검험적방법。재차기출상,장해모형응용우실제공정적변파위이예측,연구결과현시,해모형적예측치여실측치문합정도흔고,구유량호적핍근능력화외추능력,이급교고적예측정도화가고성。
The slope’s safety state and stability can be effectively estimated by making an accurate prediction for slope displacement. Aiming at the characteristic of slope displacement’s adaptive variation with time,this paper applied the adaptive filtering theory to establish a kind of prediction model for slope displacement which could be solved by Least Mean Square (LMS)algorithm. At the same it provided the methods of initial parame-ters calculation and model testing. On basis of that,the model was applied to predict the displacement of a real slope by using the historical monito-ring data. The results indicate that the prediction data show a good agreement with the historical monitoring data,the prediction model gets a good approximation?capability and extrapolating?ability,and it has a higher prediction precision and a better reliability.