A Bidirectional Neural Network Dynamic Inventory Control Model for Reservoir Operation
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-6337-7_15
Reference20 articles.
1. Cancellirre A, Giuliano G, Rossi G (2002) A neural network approach for deriving irrigation reservoir operating rules. Water Resour Manag 16:71–88
2. Chang FJ, Chang YT (2006) Adaptive Neuro-fuzzy inference system for prediction of water level in reservoir. Adv Water Resour 29:1–10
3. Dalcin AP, Pedrollo OC, Finck JS, Marques GF (2021) Deriving reservoir operational behavior with artificial neural networks: the case of Luiz Gonzaga dam, Brazil. Revista De Gestão De Água Da América Latina 18:e4
4. Elmaghraby S (1978) The economic lot scheduling problem (ELSP): review and extensions. Manage Sci 24(6):587–598
5. FAO (2006) Crop Evapotranspiration: FAO Irrigation and Drainage Paper 56. FAO, Rome, Italy
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