Genetic Programming to Forecast Stream Flow
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InCollection{Charhate200929,
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author = "S B Charhate and Y. H. Dandawat and S N Londhe",
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title = "Genetic Programming to Forecast Stream Flow",
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booktitle = "Advances in Water Resources and Hydraulic
Engineering",
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publisher = "Springer",
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year = "2009",
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pages = "29--34",
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keywords = "genetic algorithms, genetic programming, stream flow,
peak flow",
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isbn13 = "978-3-540-89464-3",
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URL = "http://dx.doi.org/10.1007/978-3-540-89465-0_6",
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DOI = "doi:10.1007/978-3-540-89465-0_6",
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abstract = "Prediction of stream flow plays a vital role in
design, construction, operation and maintenance of many
hydraulic structures. The present study aims at
predicting stream flow at Rajghat in Narmada river
basin of India using the technique of genetic
programming (GP). The GP models are developed based on
monsoon and non-monsoon seasons. The present paper
describes 5 separate GP models, 4 for monsoon months
and 1 for non-monsoon months for predicting stream flow
at Rajghat 1 day in advance. The performance of the GP
models especially at peaks is the point of interest
along with general prediction accuracy of the models.",
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notes = "Book Subtitle: Proceedings of 16th IAHR-APD Congress
and 3rd Symposium of IAHR-ISHS",
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language = "English",
- }
Genetic Programming entries for
S B Charhate
Y H Dandawat
S N Londhe
Citations