Comments: Geneticizing input selection based advanced neural network model for sediment prediction in different climate zone

Geneticizing input selection based advanced neural network model for sediment prediction in different climate zone

The study focuses on developing an accurate prediction model for suspended sediment load (SSL) based on antecedent SSL and water discharge values. Two Artificial Intelligence (AI) models, Hybrid and Parallel, were employed to test on the Kelantan and Mississippi Rivers in different climate zones and...

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Bibliographic Details
Main Authors:	Abdulmohsin Afan H., Hanna Melini Wan Mohtar W., Aksoy M., Najah Ahmed A., Khaleel F., Munir Hayet Khan M., Hatem Kamel A., Sherif M., El-Shafie A.
Other Authors:	56436626600
Format:	Article
Published:	Ain Shams University 2025
Subjects:	Arid regions Climate models Forecasting Mean square error Reservoir management Reservoirs (water) Rivers Suspended sediments Tropics Accurate prediction ANN Climate zone GA Input selection Neural network model Prediction modelling Selection based Suspended sediment loads Traditional models Neural network models
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Geneticizing input selection based advanced neural network model for sediment prediction in different climate zone

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