A Sustainable Early Warning System Using Rolling Forecasts Based on ANN and Golden Ratio Optimization Methods to Accurately Predict Real-Time Water Levels and Flash Flood

Remote monitoring sensor systems play a significant role in the evaluation and minimization of natural disasters and risk. This article presents a sustainable and real-time early warning system of sensors employed in flash flood prediction by using a rolling forecast model based on Artificial Neural...

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Detalles Bibliográficos
Autores principales: Alasali, Feras, Tawalbeh, Rula, Ghanem, Zahra, Mohammad, Fatima, Alghazzawi, Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271854/
https://www.ncbi.nlm.nih.gov/pubmed/34283144
http://dx.doi.org/10.3390/s21134598

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271854/
https://www.ncbi.nlm.nih.gov/pubmed/34283144
http://dx.doi.org/10.3390/s21134598

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