A wavelet - Particle swarm optimization - Extreme learning machine hybrid modeling for significant wave height prediction-Reference-Cited by-同舟云学术

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A wavelet - Particle swarm optimization - Extreme learning machine hybrid modeling for significant wave height prediction

Published:2020-10 Issue: Volume:213 Page:107777
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Kaloop Mosbeh R.,Kumar Deepak,Zarzoura Fawzi,Roy Bishwajit,Hu Jong Wan

Funder

ANN

Ministry of Land, Infrastructure and Transport of Korean government

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference62 articles.

1. Predicting sea wave height using Symbiotic Organisms Search (SOS) algorithm;Akbarifard;Ocean. Eng.,2018

2. Significant wave height forecasting via an extreme learning machine model integrated with improved complete ensemble empirical mode decomposition;Ali;Renew. Sustain. Energy Rev.,2019

3. An artificial neural network model function (AMF) for SARAL-Altika winds;Ali;IEEE J. Selected Topics.Appl. Earth Observ. Remote Sensing,2015

4. Predicting water level fluctuations in lake van using hybrid season-neuro approach;Altunkaynak;J. Hydrol. Eng.,2019

5. Performance comparison of continuous Wavelet-Fuzzy and discrete Wavelet-Fuzzy models for water level predictions at northern and southern boundary of Bosphorus;Altunkaynak;Ocean. Eng.,2019

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