Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mina Sayyah-Fard"'
Publikováno v:
Aqua, Vol 73, Iss 3, Pp 520-537 (2024)
The management of wastewater treatment plant (WWTP) and the assessment of uncertainty in its design are crucial from an environmental engineering perspective. One of the key mechanisms in WWTP operation is activated sludge, which is related to the bi
Externí odkaz:
https://doaj.org/article/967175521c5347bca5f54d1b9e3a698a
Coupling patterns of climatic variables in the formation of evaporation from open water bodies still are not clear due to the uncertainty involved in the process. The main goal of this study was the detection of such patterns via second-order sensiti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7aa4817f3141626b76fb895f9e2b49c
https://doi.org/10.21203/rs.3.rs-2720426/v1
https://doi.org/10.21203/rs.3.rs-2720426/v1
Publikováno v:
Journal of Hydrology. 588:125078
The point predictions of stochastic processes, such as evaporation, by data-driven methods such as Artificial Neural Network (ANN), are associated with uncertainties. Furthermore, the performance of data-driven models, as well as their uncertainty, a
Autor:
Vahid Nourani, Mina Sayyah Fard
Publikováno v:
Advances in Engineering Software. 47:127-146
This study follows three aims; firstly to develop and examine three different Artificial Neural Networks (ANNs) viz.: Multi-Layer Perceptron (MLP), Radial Basis Neural Network (RBNN) and Elman network for estimating daily evaporation rate of Tabriz a