Multireservoir Modeling with Dynamic Programming and Neural Networks
Author:
Affiliation:
1. Asst. Prof., Dept. of Civ. Engrg., Indian Inst. of Technol., Guwahati, India. E-mail: chand@iitg.ernet.in
2. Former Prof., Dept. of Civ. Engrg., Indian Inst. of Technol., Chennai, India.
Publisher
American Society of Civil Engineers (ASCE)
Subject
Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering
Link
http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-9496%282001%29127%3A2%2889%29
Reference21 articles.
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2. Bhaskar N. R. and Whitlach E. E. Jr. ( 1980). “Derivation of monthly reservoir release policies.” Water Resour. Res. 16(6) 987–993.
3. French M. N. Krajewski W. F. and Cuykendal R. R. ( 1992). “Rainfall forecasting in space and time using a neural network.” J. Hydro. Amsterdam 137 1–37.
4. Hsu K. Gupta H. V. Gao X. and Sorooshian S. ( 1999). “Estimation of physical variables from multichannel remotely sensed imagery using ANN: Application to rainfall estimation.” Water Resour. Res. 35(5) 1605.
5. Karamouz M. and Houck H. ( 1982). “Annual and monthly reservoir operating rules.” Water Resour. Res. 18(5) 1337–1344.
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