交通科技
交通科技
교통과기
TRANSPORTATION SCIENCE & TECHNOLOGY
2015年
1期
89-91,92
,共4页
地表沉降%预测模型%Richards-BP%神经网络模型
地錶沉降%預測模型%Richards-BP%神經網絡模型
지표침강%예측모형%Richards-BP%신경망락모형
surface subsidence%predicting model%Richards-BP neural network model
地下开采引起的地表沉降大致呈 S 形发展，最终趋于稳定状态，这能够运用生长曲线Richards 函数进行预测分析。同时，又因为测量和外界存在不确定性和随机性，使得地表沉降也具有动态的特征。针对地下岩矿开采矿区地表沉降曲线与 Richards 预测模型曲线的相似性，分析了 Richards 模型在地表沉降预测中的适用性，提出通过 Richards 生长曲线模型预测矿区地表沉降的趋势性变形部分，利用 BP 神经网络模型降低地表沉降的随机性影响部分，提高模型预测效果。计算结果证明了其在地表沉降预测中的适用性和可行性。
地下開採引起的地錶沉降大緻呈 S 形髮展，最終趨于穩定狀態，這能夠運用生長麯線Richards 函數進行預測分析。同時，又因為測量和外界存在不確定性和隨機性，使得地錶沉降也具有動態的特徵。針對地下巖礦開採礦區地錶沉降麯線與 Richards 預測模型麯線的相似性，分析瞭 Richards 模型在地錶沉降預測中的適用性，提齣通過 Richards 生長麯線模型預測礦區地錶沉降的趨勢性變形部分，利用 BP 神經網絡模型降低地錶沉降的隨機性影響部分，提高模型預測效果。計算結果證明瞭其在地錶沉降預測中的適用性和可行性。
지하개채인기적지표침강대치정 S 형발전，최종추우은정상태，저능구운용생장곡선Richards 함수진행예측분석。동시，우인위측량화외계존재불학정성화수궤성，사득지표침강야구유동태적특정。침대지하암광개채광구지표침강곡선여 Richards 예측모형곡선적상사성，분석료 Richards 모형재지표침강예측중적괄용성，제출통과 Richards 생장곡선모형예측광구지표침강적추세성변형부분，이용 BP 신경망락모형강저지표침강적수궤성영향부분，제고모형예측효과。계산결과증명료기재지표침강예측중적괄용성화가행성。
Ground subsidence caused by mining is almost growth in an s-shaped curve,which tends to be stable at last,and it can be predicted and analyzed by applying Richards function curve.Because there will be uncertainty and randomness along with the measurement and external environment, which makes the characteristics of surface subsidence also be dynamic.According to the similarity of two curves which caused by underground rock ore mining and Richards prediction model curve,the applicability of the Richards model is analyzed to predict the surface subsidence in this paper.It is suggested that Richards model can be used to predict the trend parts deformation of the surface in the mining area,and BP neural network model can be used to re-correct random effect parts of it.The empirical results demonstrate that the proposed method has high prediction accuracy,and its feasibili-ty and applicability in surface subsidence prediction is proved.
