High-precision combined tidal forecasting model

DOI10.3390/A12030065zbMath1461.86007OpenAlexW2932515789WikidataQ128135585 ScholiaQ128135585MaRDI QIDQ2312431

Jiao Liu, Kaige Zhu, Guoyou Shi

Publication date: 8 July 2019

Published in: Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/a12030065

zbMATH Keywords

combined modelsupport vector regression (SVR)harmonic analysis methodautoregressive integrated moving average model (ARIMA)tidal level prediction

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Hydrology, hydrography, oceanography (86A05) Geostatistics (86A32)

Uses Software

• GPCRpred

Cites Work

• Hybrid GR-SVM for prediction of surface roughness in abrasive water jet machining
• Practical selection of SVM parameters and noise estimation for SVM regression
• Prediction of SARS epidemic by BP neural networks with online prediction strategy
• ON THE ASYMPTOTICS OF ADF TESTS FOR UNIT ROOTS

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