Design equations for prediction of pressuremeter soil deformation moduli utilizing expression programming systems
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- @Article{Alavi:2014:NCA,
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author = "Amir Hossein Alavi and Amir Hossein Gandomi and
Hadi {Chahkandi Nejad} and Ali Mollahasani and
Azadeh Rashed",
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title = "Design equations for prediction of pressuremeter soil
deformation moduli utilizing expression programming
systems",
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journal = "Neural Computing and Applications",
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year = "2013",
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volume = "23",
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number = "6",
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pages = "1771--1786",
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month = nov,
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keywords = "genetic algorithms, genetic programming, gene
expression programming, Soil deformation modulus,
Expression programming techniques, Pressure meter test,
Soil physical properties",
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publisher = "Springer-Verlag",
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ISSN = "0941-0643",
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URL = "http://link.springer.com/article/10.1007%2Fs00521-012-1144-6",
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DOI = "doi:10.1007/s00521-012-1144-6",
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language = "English",
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size = "16 pages",
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abstract = "Providing precise estimations of soil deformation
modulus is very difficult due to its dependence on many
factors. In this study, gene expression programming
(GEP) and multi-expression programming (MEP) systems
are presented to derive empirical equations for the
prediction of the pressuremeter soil deformation
modulus. The employed expression programming (EP)
systems formulate the soil deformation modulus in terms
of the soil physical properties. Selection of the best
models is on the basis of developing and controlling
several models with different combinations of the
affecting parameters. The proposed EP-based models are
established upon 114 pressure meter tests on different
soil types conducted in this study. The generalisation
capabilities of the models are verified using several
statistical criteria. Contributions of the variables
influencing the soil modulus are evaluated through a
sensitivity analysis. The GEP and MEP approaches
accurately characterise the soil deformation modulus
resulting in a very good prediction performance. The
result indicates that moisture content and soil dry
unit weight can efficiently represent the initial state
and consolidation history of soil for determining its
modulus.",
- }
Genetic Programming entries for
A H Alavi
A H Gandomi
Hadi Chahkandi Nejad
Ali Mollahasani
Azadeh Rashed
Citations