Ro-Ro Freight Prediction Using a Hybrid Approach Based on Empirical Mode Decomposition, Permutation Entropy and Artificial Neural Networks

Lecture Notes in Computer Science - Hybrid Artificial Intelligent Systems ◽

10.1007/978-3-030-29859-3_48 ◽

2019 ◽

pp. 563-574

Author(s):

Jose Antonio Moscoso-Lopez ◽

Juan Jesus Ruiz-Aguilar ◽

Javier Gonzalez-Enrique ◽

Daniel Urda ◽

Hector Mesa ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Empirical Mode Decomposition ◽

Hybrid Approach ◽

Permutation Entropy ◽

Mode Decomposition ◽

Artificial Neural

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A hybrid model for wind speed prediction using empirical mode decomposition and artificial neural networks

Renewable Energy ◽

10.1016/j.renene.2012.06.012 ◽

2012 ◽

Vol 48 ◽

pp. 545-556 ◽

Cited By ~ 164

Author(s):

Hui Liu ◽

Chao Chen ◽

Hong-qi Tian ◽

Yan-fei Li

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Wind Speed ◽

Empirical Mode Decomposition ◽

Hybrid Model ◽

Wind Speed Prediction ◽

Mode Decomposition ◽

Speed Prediction ◽

Artificial Neural

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Forecasting outpatient visits using empirical mode decomposition coupled with back-propagation artificial neural networks optimized by particle swarm optimization

PLoS ONE ◽

10.1371/journal.pone.0172539 ◽

2017 ◽

Vol 12 (2) ◽

pp. e0172539 ◽

Cited By ~ 2

Author(s):

Daizheng Huang ◽

Zhihui Wu

Keyword(s):

Neural Networks ◽

Particle Swarm Optimization ◽

Artificial Neural Networks ◽

Empirical Mode Decomposition ◽

Back Propagation ◽

Particle Swarm ◽

Swarm Optimization ◽

Outpatient Visits ◽

Mode Decomposition ◽

Artificial Neural

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Implementing Method of Empirical Mode Decomposition based on Artificial Neural Networks and Genetic Algorithms for Crude Oil Price Forecasting

Journal of Physics Conference Series ◽

10.1088/1742-6596/1569/2/022075 ◽

2020 ◽

Vol 1569 ◽

pp. 022075

Author(s):

S Herawati ◽

A Djunaidy

Keyword(s):

Neural Networks ◽

Genetic Algorithms ◽

Artificial Neural Networks ◽

Crude Oil ◽

Empirical Mode Decomposition ◽

Oil Price ◽

Price Forecasting ◽

Crude Oil Price ◽

Mode Decomposition ◽

Artificial Neural

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Fault Diagnosis of Internal Combustion Engine Using Empirical Mode Decomposition and Artificial Neural Networks

Intelligent Computing Methodologies - Lecture Notes in Computer Science ◽

10.1007/978-3-319-63315-2_17 ◽

2017 ◽

pp. 188-199

Author(s):

Md. Shiblee ◽

Sandeep K. Yadav ◽

B. Chandra

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Diagnosis ◽

Internal Combustion Engine ◽

Empirical Mode Decomposition ◽

Combustion Engine ◽

Internal Combustion ◽

Mode Decomposition ◽

Artificial Neural

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Solar Radiation Time-Series Prediction Based on Empirical Mode Decomposition and Artificial Neural Networks

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-662-44654-6_44 ◽

2014 ◽

pp. 447-455 ◽

Cited By ~ 2

Author(s):

Petros-Fotios Alvanitopoulos ◽

Ioannis Andreadis ◽

Nikolaos Georgoulas ◽

Michalis Zervakis ◽

Nikolaos Nikolaidis

Keyword(s):

Neural Networks ◽

Time Series ◽

Artificial Neural Networks ◽

Solar Radiation ◽

Empirical Mode Decomposition ◽

Time Series Prediction ◽

Mode Decomposition ◽

Artificial Neural ◽

Radiation Time

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Void Fraction Measurement of Gas-Liquid Two-Phase Flow Based on Empirical Mode Decomposition and Artificial Neural Networks

Heat Transfer Engineering ◽

10.1080/01457632.2018.1470321 ◽

2018 ◽

Vol 40 (16) ◽

pp. 1403-1416 ◽

Cited By ~ 1

Author(s):

Weiwei Wang ◽

Khellil Sefiane ◽

Gail Duursma ◽

Xiao Liang ◽

Yu Chen

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Empirical Mode Decomposition ◽

Void Fraction ◽

Two Phase Flow ◽

Phase Flow ◽

Two Phase ◽

Mode Decomposition ◽

Artificial Neural ◽

Fraction Measurement

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Application of Multivariate Empirical Mode Decomposition and Sample Entropy in EEG Signals via Artificial Neural Networks for Interpreting Depth of Anesthesia

Entropy ◽

10.3390/e15093325 ◽

2013 ◽

Vol 15 (12) ◽

pp. 3325-3339 ◽

Cited By ~ 44

Author(s):

Jeng-Rung Huang ◽

Shou-Zen Fan ◽

Maysam Abbod ◽

Kuo-Kuang Jen ◽

Jeng-Fu Wu ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Empirical Mode Decomposition ◽

Sample Entropy ◽

Depth Of Anesthesia ◽

Eeg Signals ◽

Multivariate Empirical Mode Decomposition ◽

Mode Decomposition ◽

Artificial Neural

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Nonlinear aircraft system identification using artificial neural networks enhanced by empirical mode decomposition

Aerospace Science and Technology ◽

10.1016/j.ast.2018.01.004 ◽

2018 ◽

Vol 75 ◽

pp. 155-171 ◽

Cited By ~ 13

Author(s):

Seyed Amin Bagherzadeh

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

System Identification ◽

Empirical Mode Decomposition ◽

Mode Decomposition ◽

Artificial Neural ◽

Aircraft System

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Signal prediction based on empirical mode decomposition and artificial neural networks

Geodesy and Geodynamics ◽

10.3724/sp.j.1246.2012.00052 ◽

2012 ◽

Vol 3 (1) ◽

pp. 52-56

Author(s):

Wang Yong ◽

Liu Yanping ◽

Yang Jing

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Empirical Mode Decomposition ◽

Signal Prediction ◽

Mode Decomposition ◽

Artificial Neural

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Artificial Neural Networks and Haken’s Synergetic Computer: A Hybrid Approach for Solving Bistable Reversible Figures

Ambiguity in Mind and Nature - Springer Series in Synergetics ◽

10.1007/978-3-642-78411-8_16 ◽

1995 ◽

pp. 311-335

Author(s):

H. H. Szu ◽

F. Lu ◽

J. S. Landa

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Hybrid Approach ◽

Reversible Figures ◽

Artificial Neural

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