Predicting evaporation with optimized artificial neural network using multi-objective salp swarm algorithm

Evaporation is a crucial component to be established in agriculture management and water engineering. Evaporation prediction is thus an essential issue for modeling researchers. In this study, the multilayer perceptron (MLP) was used for predicting daily evaporation. MLP model is as one of the famou...

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Vydáno v:	Environmental science and pollution research international Ročník 29; číslo 7; s. 10675 - 10701
Hlavní autoři:	Ehteram, Mohammad, Panahi, Fatemeh, Ahmed, Ali Najah, Huang, Yuk Feng, Kumar, Pavitra, Elshafie, Ahmed
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2022 Springer Nature B.V
Témata:	Agricultural engineering Agricultural management Algorithms Aquatic Pollution Artificial neural networks Atmospheric Protection/Air Quality Control/Air Pollution crows Earth and Environmental Science Ecotoxicology Environment Environmental Chemistry Environmental Health Environmental science Evaporation Malaysia Mathematical models Multilayer perceptrons Multiple objective analysis Neural networks Neural Networks, Computer Parameter uncertainty Particle swarm optimization prediction Research Article Root-mean-square errors swarms Uncertainty Uncertainty analysis Waste Water Technology Water Water engineering Water Management Water Pollution Control Malaysia MLP Pareto front Evaporation Multi-objective optimization algorithms
ISSN:	0944-1344, 1614-7499, 1614-7499
On-line přístup:	Získat plný text
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