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Application of artificial neural networks to the prediction of tunnel boring machine penetration rat
[期刊论文] 作者：JAVAD Gholamnejad,NARGES Tayar,
来源：矿业科学技术：英文版 年份：2010
在岩石环境的一台隧道无聊的机器(TBM ) 的穿入的率通常是为一个通道工程的成功的成就的一个关键参数。这份报纸为为穿入率建模论述研究的结果进一种人工的神经网络(ANN ) 技...
Application of artificial neural networks to the prediction of tunnel boring machine penetration rat
[期刊论文] 作者：JAVAD Gholamnejad,NARGES Tayar,
来源：矿业科学技术（英文版） 年份：2004
Rate of penetration of a Tunnel Boring Machine(TBM)in a rock environment is generally a key parameter for the successful accomplishment of a tunneling project.T...
Application of artificial neural networks to the prediction of tunnel boring machine penetration rat
[期刊论文] 作者：JAVAD Gholamnejad,NARGES Tayarani,,
来源：Mining Science and Technology 年份：2010
Rate of penetration of a Tunnel Boring Machine(TBM) in a rock environment is generally a key parameter for the successful accomplishment of a tunneling project....
Application of artificial neural networks to the prediction of tunnel boring machine penetration rat
[期刊论文] 作者：JAVAD Gholamnejad,NARGES Tayaran,
来源：Mining Science and Technology 年份：2020
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[期刊论文] 作者：Abolfazl Abdollahipour,Mohammad Fatehi Marji,Alireza Yarahmadi Bafghi,Javad Gholamnejad,
来源：中南大学学报（英文版） 年份：2016
The higher order displacement discontinuity method (HODDM) utilizing special crack tip elements has been used in the solution of linear elastic fracture mechani...
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