Application of artificial neural network for optimal operation of a multi-purpose multi-reservoir system, I: initial solution and selection of input variables-Reference-Cited by-同舟云学术

Application of artificial neural network for optimal operation of a multi-purpose multi-reservoir system, I: initial solution and selection of input variables

Published:2020-06-27 Issue:4 Volume:6 Page:
ISSN:2363-5037
Container-title:Sustainable Water Resources Management
language:en
Short-container-title:Sustain. Water Resour. Manag.

Author:

Shaikh Safayat Ali

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Renewable Energy, Sustainability and the Environment

Link

https://link.springer.com/content/pdf/10.1007/s40899-020-00411-w.pdf

Reference29 articles.

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2. ASCE Task Committee on Application of Artificial Neural Networks in Hydrology (Rao Govindaraju) (2000b) II: Hydrologic application. J Hydrol Eng 5(2):124–137

3. Bellman R (1957) Dynamic Programming. Princeton University, Princeton, New York

4. Bellman R (1962) Dynamic programming. Princeton University, Princeton

5. Cancelliere A, Giuliano AA, Rossi G (2004) A neural networks approach for deriving Irrigation reservoir operating rules. Water Resour Manag 16(1):71–88

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