Regression model for sediment transport problems using multi-gene symbolic genetic programming
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- @Article{Kumar:2014:CEA,
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author = "Bimlesh Kumar and Anjaneya Jha and
Vishal Deshpande and Gopu Sreenivasulu",
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title = "Regression model for sediment transport problems using
multi-gene symbolic genetic programming",
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journal = "Computers and Electronics in Agriculture",
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volume = "103",
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pages = "82--90",
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year = "2014",
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ISSN = "0168-1699",
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DOI = "doi:10.1016/j.compag.2014.02.010",
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URL = "http://www.sciencedirect.com/science/article/pii/S016816991400057X",
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keywords = "genetic algorithms, genetic programming, Incipient
motion, Sediment transport, Total bed load, Vegetated
flow",
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abstract = "Sediment transport modelling problems are complex due
to the multi-dimensionality of the problems, along with
their nonlinear interdependence. Also, in river
hydraulics, phenomena are stochastic and variables are
measured with uncertainties which are unavoidable.
Dimensional and regression analyses have been employed
in the past but have associated limitations. As a
robust modelling tool, genetic programming was used to
develop predictor models for three different but
related problems of sediment transport-vegetated flow,
incipient motion and total bed load prediction. A
relatively new development over the conventional
genetic programming-multi-gene symbolic regression was
used to model functional relationships that were able
to generality's highly nonlinear variations in data as
well as predict system behaved from independent input
data in all the three cases. The algorithmic parameters
for genetic programming technique were resolved
iteratively, varying based on problems in context. For
all the three models developed, model efficiency
criteria were found out and presented and the
performance of the present model was compared with
several past models for the same data points. The
models developed herein were able to generalize the
underlying relationships in the presented data as well
as were able to predict values for unknown data with
high accuracy.",
- }
Genetic Programming entries for
Bimlesh Kumar
Anjaneya Jha
Vishal Deshpande
Gopu Sreenivasulu
Citations