机译:优化灰色离散Verhulst-BP神经网络模型在基坑沉降预测中的应用
Cent S Univ Minist Educ Key Lab Metallogen Predict Nonferrous Met & Geol Changsha 410083 Hunan Peoples R China|Cent S Univ Sch Geosci & Infophys 932 South Lushan Rd Changsha 410083 Hunan Peoples R China;
Cent S Univ Minist Educ Key Lab Metallogen Predict Nonferrous Met & Geol Changsha 410083 Hunan Peoples R China|Cent S Univ Sch Geosci & Infophys 932 South Lushan Rd Changsha 410083 Hunan Peoples R China;
Cent S Univ Minist Educ Key Lab Metallogen Predict Nonferrous Met & Geol Changsha 410083 Hunan Peoples R China|Cent S Univ Sch Geosci & Infophys 932 South Lushan Rd Changsha 410083 Hunan Peoples R China;
Settlement prediction; Optimized discrete grey Verhulst model; BP neural network model; Combination forecasting model; Kalman filter model;
机译:优化的灰色离散Verhulst-BP神经网络模型在基坑沉降预测中的应用
机译:基于改进PSO-BP神经网络的深基坑地面沉降预测研究
机译:神经网络在沉管隧道地基沉降预测中的应用
机译:深基坑地面沉降预测中神经网络模型的分析
机译:用于预测,估计和优化的神经网络模型:算法和应用。
机译:基于灰关联分析结合BP神经网络和Bat算法的复合预浸料缠绕工艺建模与优化。
机译:深基坑地面沉降预测中神经网络模型的分析