New Ground-Motion Prediction Equations Using Multi Expression Programing
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{Alavi:2011:JEQE,
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author = "Amir Hossein Alavi and Amir Hossein Gandomi and
Minoo Modaresnezhad and Mehdi Mousavi",
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title = "New Ground-Motion Prediction Equations Using Multi
Expression Programing",
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journal = "Journal of Earthquake Engineering",
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year = "2011",
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volume = "15",
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number = "4",
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pages = "511--536",
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keywords = "genetic algorithms, genetic programming,
Multi-Expression Programming, Time-Domain Ground-Motion
Parameters, Attenuation Relationship, Nonlinear
Modelling",
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ISSN = "1363-2469",
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URL = "http://www.tandfonline.com/doi/abs/10.1080/13632469.2010.526752#.UlMR6NKc_G0",
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DOI = "doi:10.1080/13632469.2010.526752",
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size = "26 pages",
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abstract = "High-precision attenuation models were derived to
estimate peak ground acceleration (PGA), velocity
(PGV), and displacement (PGD) using a new variant of
genetic programming, namely multi expression
programming (MEP). The models were established based on
an extensive database of ground-motion recordings
released by Pacific Earthquake Engineering Research
Center (PEER). For more validity verification, the
models were employed to predict the ground-motion
parameters of the Iranian plateau earthquakes. The
results indicate that the MEP attenuation models are
capable of effectively estimating the peak
ground-motion parameters. The proposed models are able
to reach a prediction performance comparable with the
attenuation relationships found in the literature.",
- }
Genetic Programming entries for
A H Alavi
A H Gandomi
Minoo Modaresnezhad
Mehdi Mousavi
Citations