Modeling the Nonlinearity of Sea Level Oscillations in the Malaysian Coastal Areas Using Machine Learning Algorithms

The estimation of an increase in sea level with sufficient warning time is important in low-lying regions, especially in the east coast of Peninsular Malaysia (ECPM). This study primarily aims to investigate the validity and effectiveness of the support vector machine (SVM) and genetic programming (...

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Bibliographic Details
Main Authors: Lai, V., Ahmed, A.N., Malek, M.A., Afan, H.A., Ibrahim, R.K., El-Shafie, A.
Format: Article
Language:English
Published: 2020
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Institution: Universiti Tenaga Nasional
Language: English