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A Modular Tide LevePrediction Using Combination Ofharmonic-Analysis and Nonlinear Autoregressive Exogenous (Narx) Methodology in Semarang Indonesia

Semarang is highly prone to tidal floods year-round, making tidal prediction using methods like Harmonic Analysis with Least Squares (HA-LS) crucial for disaster mitigation. However, this method is not effective enough because it has relatively high Root Mean Squared Error (RMSE) value of up to 11.4...

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Principais autores: Elvien Hastatomo Khasby, Anistia Malinda Hidayat, Usman Efendi, Pulung Nurtantio Andono, Catur Supriyanto, Arief Soeleman, Ferry Oktarisa, Aurel Dwiyana
Format: Artigo
Sprog:Inglês
Udgivet: National Research and Innovation Agency 2025-05-01
Serier:Wave
Fag:
prediction
tides
harmonic analysis
neural network
narx
Online adgang:https://ejournal.brin.go.id/jurnalwave/article/view/8608
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