Мақаланы E-mail арқылы жіберу Runoff evaluation for ungauged watersheds by SWAP model. 1. Application of artificial neural networks
- Авторлар: Gusev E.M.1, Ayzel G.V.1, Nasonova O.N.1
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Мекемелер:
- Water Problems Institute
- Шығарылым: Том 44, № 2 (2017)
- Беттер: 169-179
- Бөлім: Water Resourсes and the Regime of Water Bodies
- URL: https://journals.rcsi.science/0097-8078/article/view/174151
- DOI: https://doi.org/10.1134/S0097807817020038
- ID: 174151
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Аннотация
The potentialities of artificial neural networks are studied as applied to estimating key model parameters required for calculating river runoff by SWAP model in the case of ungauged watersheds. The examined geographic objects were 323 experimental watersheds of MOPEX project. The quality of model parameter estimates based on ANNs with different architecture was analyzed.
Авторлар туралы
E. Gusev
Water Problems Institute
Хат алмасуға жауапты Автор.
Email: sowaso@yandex.ru
Ресей, Moscow, 119333
G. Ayzel
Water Problems Institute
Email: sowaso@yandex.ru
Ресей, Moscow, 119333
O. Nasonova
Water Problems Institute
Email: sowaso@yandex.ru
Ресей, Moscow, 119333
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