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.
This work is supported by research funding provided B.C.U.D. through University of Pune India
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© 2009 Tsinghua University Press, Beijing and Springer-Verlag GmbH Berlin Heidelberg
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Charhat, S.B., Dandawat, Y.H., Londh, S.N. (2009). Genetic Programming to Forecast Stream Flow. In: Advances in Water Resources and Hydraulic Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89465-0_6
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DOI: https://doi.org/10.1007/978-3-540-89465-0_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89464-3
Online ISBN: 978-3-540-89465-0
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