AMITY
发表于 2025-3-23 10:53:41
Empirische Polizeiforschung IIIe projects, estimation of the TBM performance is considered as a significant issue since it can be an influential parameter related to the project cost. Hence, many scholars tried to develop simple, applicable, and powerful methodologies for the prediction of TBM performance. The total developed met
IOTA
发表于 2025-3-23 14:35:09
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轻快带来危险
发表于 2025-3-23 19:57:54
Das Modell der Preisabsatzfunktiondo this, after reviewing the available literature, the data collected from the tunnel site and doing laboratory investigations, five important parameters, i.e., rock mass rating, Brazilian tensile strength, weathering zone, cutter head thrust force, and revolution per minute, were set as model input
恶意
发表于 2025-3-24 01:01:56
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不可侵犯
发表于 2025-3-24 02:20:28
Book 2021ve been applied and introduced by the researchers in this field. In addition, a critical review of the available TBM performance predictive models will be discussed in details. Then, this book introduces several predictive models i.e., statistical and intelligent techniques which are applicable, pow
Dungeon
发表于 2025-3-24 08:06:34
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Bravado
发表于 2025-3-24 13:47:30
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口诀
发表于 2025-3-24 18:23:37
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Madrigal
发表于 2025-3-24 19:02:45
2191-530X of available TBM performance predictive models in detail.Int.This book covers the tunnel boring machine (TBM) performance classifications, empirical models, statistical and intelligent-based techniques which have been applied and introduced by the researchers in this field. In addition, a critical r
AORTA
发表于 2025-3-25 02:07:58
Empirische Polizeiforschung IIIir accuracy level is only suitable (coefficient of determination ~0.6) in many cases. On the other hand, these techniques are not good if there are some outlier data samples in the database. The best model category for TBM performance prediction is related to machine learning (ML) and artificial int