GENETIC PROGRAMMING TO FORECAST STREAM FLOW
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 5separate 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.
stream flow genetic programming peak flow
S B Charhate Y.H.Dandawate S N Londhe
Datta Meghe College of Engineering, Airoli, New Mumbai, India Vishwakarma Institute of Information Technology, Kondhwa (Bk), Pnne 411048, India Vishwakarma Institute of Information Technology, Kondhwa (Bk), Pune 411048, India
国际会议
第16届亚太地区国际水利学大会暨第3届水工水力学国际研讨会(16th IAHR-APD Congress and 3rd Symoposium of IAHR-ISHS)
南京
英文
29-34
2008-10-20（万方平台首次上网日期，不代表论文的发表时间）