Litcius/Paper detail

A Recurrent-Cascade-Neural network- nonlinear autoregressive networks with exogenous inputs (NARX) approach for long-term time-series prediction of wave height based on wave characteristics measurements

Yehia Miky, Mosbeh R. Kaloop, Mohamed T. Elnabwy, Ahmad Baik, Ahmed Al Shouny

2021Ocean Engineering38 citationsDOI

Topics & Concepts

Nonlinear autoregressive exogenous modelAutoregressive modelRecurrent neural networkArtificial neural networkMean squared errorRobustness (evolution)CascadeTime seriesAutoregressive–moving-average modelNonlinear systemComputer scienceTerm (time)Series (stratigraphy)BuoyControl theory (sociology)AlgorithmArtificial intelligenceStatisticsMathematicsMachine learningEngineeringBiochemistryBiologyPaleontologyGenePhysicsMarine engineeringChemical engineeringChemistryQuantum mechanicsControl (management)Hydrological Forecasting Using AIOcean Waves and Remote SensingEnergy Load and Power Forecasting