Concepedia

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

Ocean Engineering · 2021 · 36 citations · 41 references

Concepts

Wave Characteristics MeasurementsRecurrent Neural NetworkExogenous InputsEngineeringWave PropagationNonlinear Signal ProcessingProbabilistic Wave ModellingForecastingLong-term Time-series PredictionSignal ProcessingWaveform AnalysisNonlinear Time Series

References

41

Finding Structure in Time

Jeffrey L. Elman · Cognitive Science · 1990 · 10.6K citations

Semantic Processing, Psycholinguistics, Memory Demands +17

Application of Long Short-Term Memory (LSTM) Neural Network for Flood Forecasting

Xuan-Hien Le, Hung Viet Ho, Giha Lee et al. · Water · 2019 · 842 citations · Full text

Forecasting Methodology, Hydrological Prediction, Engineering +22

Learning Complex, Extended Sequences Using the Principle of History Compression

Jürgen Schmidhuber · Neural Computation · 1992 · 403 citations

Incremental Learning, Engineering, Machine Learning +20

Real time wave forecasting using neural networks

M. C. Deo, C. Sridhar Naidu · Ocean Engineering · 1998 · 349 citations

Forecasting Methodology, Nonlinear Time Series, Forecasting +2

A novel model to predict significant wave height based on long short-term memory network

Shuntao Fan, Nianhao Xiao, Sheng Dong · Ocean Engineering · 2020 · 297 citations

Engineering, Data Science, Surface Wave +9