Genetic Programming to Forecast Stream Flow

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

@InCollection{Charhate200929,
  author =       "S B Charhate and Y. H. Dandawat and S N Londhe",
  title =        "Genetic Programming to Forecast Stream Flow",
  booktitle =    "Advances in Water Resources and Hydraulic
                 Engineering",
  publisher =    "Springer",
  year =         "2009",
  pages =        "29--34",
  keywords =     "genetic algorithms, genetic programming, stream flow,
                 peak flow",
  isbn13 =       "978-3-540-89464-3",
  URL =          "http://dx.doi.org/10.1007/978-3-540-89465-0_6",
  DOI =          "doi:10.1007/978-3-540-89465-0_6",
  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.",
  notes =        "Book Subtitle: Proceedings of 16th IAHR-APD Congress
                 and 3rd Symposium of IAHR-ISHS",
  language =     "English",
}

Genetic Programming entries for S B Charhate Y H Dandawat S N Londhe

Citations