State-of-the-art predictive modeling of TBM performance in changing geological conditions through gene expression programming
Created by W.Langdon from
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- @Article{ZARENAGHADEHI:2018:Measurement,
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author = "Masoud {Zare Naghadehi} and Masoud Samaei and
Masoud Ranjbarnia and Vahid Nourani",
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title = "State-of-the-art predictive modeling of TBM
performance in changing geological conditions through
gene expression programming",
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journal = "Measurement",
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volume = "126",
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pages = "46--57",
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year = "2018",
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keywords = "genetic algorithms, genetic programming, Tunnel boring
machine (TBM), Predictive modeling, Performance
prediction, Gene expression programming (GEP),
Artificial intelligence (AI)",
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ISSN = "0263-2241",
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DOI = "doi:10.1016/j.measurement.2018.05.049",
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URL = "http://www.sciencedirect.com/science/article/pii/S0263224118304366",
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abstract = "Hard rock TBM performance prediction is of great
interest to the tunneling community on account of its
importance in time and cost risk management of
underground projects. Continuous development of new
empirical models in recent decades reveals the
importance of accurate prediction of this factor in
diverse ground and machine conditions. The great number
of different parameters influencing TBM performance and
the high variability linked to specific field
conditions cause the problem to be very complex. Gene
expression programming (GEP) models, a robust variant
of genetic programming, are developed in this study to
correlate hard rock TBM performance with routine ground
properties for project design applications. The
developed models are compared with those from
statistical and soft computing-based models in the
literature. Overall, GEP models show good performance
and are proven to be much better than the previous
models. The proposed models of this study can be
remarked as an ultimate stage to one decade of
researchers' attempts to improve the accuracy of
predictive equations developed through a well-known
database of TBM performance in one of the most complex
tunneling projects in the world",
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keywords = "genetic algorithms, genetic programming, Tunnel boring
machine (TBM), Predictive modeling, Performance
prediction, Gene expression programming (GEP),
Artificial intelligence (AI)",
- }
Genetic Programming entries for
Masoud Zare Naghadehi
Masoud Samaei
Masoud Ranjbarnia
Vahid Nourani
Citations