Estimation of hydraulic jump on corrugated bed using artificial neural networks and genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{Abbaspour:2013:WSE,
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author = "Akram Abbaspour and Davood Farsadizadeh and
Mohammad Ali Ghorbani",
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title = "Estimation of hydraulic jump on corrugated bed using
artificial neural networks and genetic programming",
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journal = "Water Science and Engineering",
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volume = "6",
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number = "2",
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pages = "189--198",
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year = "2013",
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ISSN = "1674-2370",
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DOI = "doi:10.3882/j.issn.1674-2370.2013.02.007",
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URL = "http://www.sciencedirect.com/science/article/pii/S1674237015302362",
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abstract = "Artificial neural networks (ANNs) and genetic
programming (GP) have recently been used for the
estimation of hydraulic data. In this study, they were
used as alternative tools to estimate the
characteristics of hydraulic jumps, such as the free
surface location and energy dissipation. The
dimensionless hydraulic parameters, including jump
depth, jump length, and energy dissipation, were
determined as functions of the Froude number and the
height and length of corrugations. The estimations of
the ANN and GP models were found to be in good
agreement with the measured data. The results of the
ANN model were compared with those of the GP model,
showing that the proposed ANN models are much more
accurate than the GP models.",
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keywords = "genetic algorithms, genetic programming, artificial
neural networks, corrugated bed, Froude number,
hydraulic jump",
- }
Genetic Programming entries for
Akram Abbaspour
Davood Farsadizadeh
Mohammad Ali Ghorbani
Citations