A novel time-series model based on empirical mode decomposition for forecasting TAIEX

Economic Modelling ◽

10.1016/j.econmod.2013.09.033 ◽

2014 ◽

Vol 36 ◽

pp. 136-141 ◽

Author(s):

Ching-Hsue Cheng ◽

Liang-Ying Wei

Keyword(s):

Time Series ◽

Empirical Mode Decomposition ◽

Time Series Model ◽

Model Based ◽

Mode Decomposition

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Predicting Building Energy Consumption by Time Series Model Based on Machine Learning and Empirical Mode Decomposition

2020 5th IEEE International Conference on Big Data Analytics (ICBDA) ◽

10.1109/icbda49040.2020.9101335 ◽

2020 ◽

Author(s):

Dandan Liu ◽

Qiangqiang Yang ◽

Fang Yang

Keyword(s):

Machine Learning ◽

Time Series ◽

Energy Consumption ◽

Empirical Mode Decomposition ◽

Building Energy ◽

Time Series Model ◽

Building Energy Consumption ◽

Model Based ◽

Mode Decomposition

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An Intelligent and Hybrid Weighted Fuzzy Time Series Model Based on Empirical Mode Decomposition for Financial Markets Forecasting

Advances in Data Mining. Applications and Theoretical Aspects - Lecture Notes in Computer Science ◽

10.1007/978-3-319-95786-9_8 ◽

2018 ◽

pp. 104-118 ◽

Author(s):

Ruixin Yang ◽

Junyi He ◽

Mingyang Xu ◽

Haoqi Ni ◽

Paul Jones ◽

...

Keyword(s):

Time Series ◽

Financial Markets ◽

Empirical Mode Decomposition ◽

Time Series Model ◽

Fuzzy Time Series ◽

Model Based ◽

Mode Decomposition

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A Study on the Predictive Power Improvement of Time Series Model with Empirical Mode Decomposition Method

Journal of Korea Water Resources Association ◽

10.3741/jkwra.2015.48.12.981 ◽

2015 ◽

Vol 48 (12) ◽

pp. 981-993

Author(s):

Taereem Kim ◽

◽

Hongjoon Shin ◽

Woosung Nam ◽

Jun-Haeng Heo

Keyword(s):

Time Series ◽

Empirical Mode Decomposition ◽

Decomposition Method ◽

Predictive Power ◽

Time Series Model ◽

Mode Decomposition ◽

Empirical Mode Decomposition Method

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A hybrid ANFIS model based on empirical mode decomposition for stock time series forecasting

Applied Soft Computing ◽

10.1016/j.asoc.2016.01.027 ◽

2016 ◽

Vol 42 ◽

pp. 368-376 ◽

Author(s):

Liang-Ying Wei

Keyword(s):

Time Series ◽

Empirical Mode Decomposition ◽

Time Series Forecasting ◽

Anfis Model ◽

Model Based ◽

Mode Decomposition

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Application of hybrid model based on empirical mode decomposition, novel recurrent neural networks and the ARIMA to wind speed prediction

Energy Conversion and Management ◽

10.1016/j.enconman.2021.113917 ◽

2021 ◽

Vol 233 ◽

pp. 113917

Author(s):

Ming-De Liu ◽

Lin Ding ◽

Yu-Long Bai

Keyword(s):

Neural Networks ◽

Empirical Mode Decomposition ◽

Hybrid Model ◽

Recurrent Neural Networks ◽

Wind Speed Prediction ◽

Model Based ◽

Mode Decomposition ◽

Speed Prediction

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A time series model-based method for gear tooth crack detection and severity assessment under random speed variation

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2020.107605 ◽

2021 ◽

Vol 156 ◽

pp. 107605

Author(s):

Yuejian Chen ◽

Stephan Schmidt ◽

P. Stephan Heyns ◽

Ming J. Zuo

Keyword(s):

Time Series ◽

Crack Detection ◽

Time Series Model ◽

Severity Assessment ◽

Speed Variation ◽

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Network traffic prediction model based on ensemble empirical mode decomposition and multiple models

International Journal of Communication Systems ◽

10.1002/dac.4966 ◽

2021 ◽

Author(s):

Lian Lian ◽

Zhongda Tian

Keyword(s):

Prediction Model ◽

Empirical Mode Decomposition ◽

Network Traffic ◽

Ensemble Empirical Mode Decomposition ◽

Traffic Prediction ◽

Multiple Models ◽

Model Based ◽

Mode Decomposition

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Pythagorean fuzzy time series model based on Pythagorean fuzzy c-means and improved Markov weighted in the prediction of the new COVID-19 cases

Soft Computing ◽

10.1007/s00500-021-06259-2 ◽

2021 ◽

Author(s):

Sidong Xian ◽

Yue Cheng

Keyword(s):

Time Series ◽

Time Series Model ◽

Fuzzy Time Series ◽

Fuzzy C Means ◽

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Empirical Mode Decomposition Techniques for Biomedical Time Series Analysis

Recent Advances in Biomedical Signal Processing ◽

10.2174/978160805218911101010060 ◽

2012 ◽

pp. 60-81

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Empirical Mode Decomposition ◽

Decomposition Techniques ◽

Series Analysis ◽

Mode Decomposition

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Hybrid Intelligent Forecasting Model Based on Empirical Mode Decomposition, Support Vector Regression and Adaptive Linear Neural Network

Lecture Notes in Computer Science - Advances in Natural Computation ◽

10.1007/11539117_47 ◽

2005 ◽

pp. 324-327 ◽

Author(s):

Zhengjia He ◽

Qiao Hu ◽

Yanyang Zi ◽

Zhousuo Zhang ◽

Xuefeng Chen

Keyword(s):

Neural Network ◽

Support Vector Regression ◽

Empirical Mode Decomposition ◽

Support Vector ◽

Forecasting Model ◽

Model Based ◽

Mode Decomposition ◽

Linear Neural Network

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