Genetic Programming to Forecast Stream Flow

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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