Design of a hybrid ANN multi-objective whale algorithm for suspended sediment load prediction

There is a need to develop an accurate and reliable model for predicting suspended sediment load (SSL) because of its complexity and difficulty in practice. This is due to the fact that sediment transportation is extremely nonlinear and is directed by numerous parameters such as rainfall, sediment s...

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Veröffentlicht in:	Environmental science and pollution research international 2021, Vol.28 (2), p.1596-1611
Hauptverfasser:	Ehteram, Mohammad, Ahmed, Ali Najah, Latif, Sarmad Dashti, Huang, Yuk Feng, Alizamir, Meysam, Kisi, Ozgur, Mert, Cihan, El-Shafie, Ahmed
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Aquatic Pollution Artificial neural networks Atmospheric Protection/Air Quality Control/Air Pollution basins Earth and Environmental Science Ecotoxicology Environment Environmental Chemistry Environmental Health Environmental science Hybridization hybrids Iran Load distribution Mathematical models Model accuracy Multiple objective analysis Neural networks Neural Networks, Computer Parameters Particle swarm optimization prediction rain Rainfall Research Article sediment contamination Sediment load sediment transport Sediments Suspended load suspended sediment Suspended sediments Waste Water Technology Water Management Water Pollution Control whales
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