Time Series Forecasting Model with Error Correction by Structure Adaptive Support Vector Machine

2008 International Conference on Computer Science and Software Engineering ◽

10.1109/csse.2008.88 ◽

2008 ◽

Author(s):

Feng Kong ◽

Xiaojuan Wu

Keyword(s):

Time Series ◽

Support Vector Machine ◽

Error Correction ◽

Time Series Forecasting ◽

Support Vector ◽

Forecasting Model ◽

Adaptive Support

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A generalized financial time series forecasting model based on automatic feature engineering using genetic algorithms and support vector machine

2018 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2018.8489034 ◽

2018 ◽

Author(s):

Norberto Ritzmann Junior ◽

Julio Cesar Nievola

Keyword(s):

Time Series ◽

Support Vector Machine ◽

Genetic Algorithms ◽

Financial Time Series ◽

Time Series Forecasting ◽

Support Vector ◽

Forecasting Model ◽

Feature Engineering ◽

Financial Time ◽

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Fuzzy time series forecasting based on hesitant fuzzy sets, particle swarm optimization and support vector machine-based hybrid method

Granular Computing ◽

10.1007/s41066-021-00300-3 ◽

2021 ◽

Author(s):

Manish Pant ◽

Sanjay Kumar

Keyword(s):

Time Series ◽

Support Vector Machine ◽

Particle Swarm Optimization ◽

Hybrid Method ◽

Time Series Forecasting ◽

Fuzzy Time Series ◽

Support Vector ◽

Hesitant Fuzzy Sets ◽

Swarm Optimization

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Time Series Forecasting Model Based on SVM with Error Correction of Selected Parameter

Revista Tecnica De La Facultad De Ingenieria Universidad Del Zulia ◽

10.21311/001.39.5.35 ◽

2016 ◽

Keyword(s):

Time Series ◽

Error Correction ◽

Time Series Forecasting ◽

Forecasting Model ◽

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Research of Least Square Support Vector Machine Based on Chaotic Time Series in Power Load Forecasting Model

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/11893257_108 ◽

2006 ◽

pp. 984-993 ◽

Author(s):

Wei Sun ◽

Chenguang Yang

Keyword(s):

Time Series ◽

Support Vector Machine ◽

Load Forecasting ◽

Chaotic Time Series ◽

Least Square ◽

Support Vector ◽

Forecasting Model ◽

Power Load Forecasting

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Chaotic time series forecasting based on Cdf9/7 biorthogonal wavelet kernel support vector machine

2011 Seventh International Conference on Natural Computation ◽

10.1109/icnc.2011.6022096 ◽

2011 ◽

Author(s):

Chao Huang ◽

Lili Huang ◽

Weijun Zhong

Keyword(s):

Time Series ◽

Support Vector Machine ◽

Time Series Forecasting ◽

Chaotic Time Series ◽

Support Vector ◽

Biorthogonal Wavelet ◽

Kernel Support Vector Machine

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Application of Hybrid RBF Neural Network Ensemble Model Based on Wavelet Support Vector Machine Regression in Rainfall Time Series Forecasting

2012 Fifth International Joint Conference on Computational Sciences and Optimization ◽

10.1109/cso.2012.195 ◽

2012 ◽

Author(s):

Lingzhi Wang ◽

Jiansheng Wu

Keyword(s):

Neural Network ◽

Time Series ◽

Support Vector Machine ◽

Rbf Neural Network ◽

Time Series Forecasting ◽

Support Vector ◽

Rainfall Time Series ◽

Ensemble Model ◽

Neural Network Ensemble ◽

Support Vector Machine Regression

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Wavelet Transform and PSO Support Vector Machine Based Approach for Time Series Forecasting

2009 International Conference on Artificial Intelligence and Computational Intelligence ◽

10.1109/aici.2009.301 ◽

2009 ◽

Author(s):

Xiao-Lu Wang ◽

Jian Liu ◽

Jian-Jun Lu

Keyword(s):

Time Series ◽

Support Vector Machine ◽

Wavelet Transform ◽

Time Series Forecasting ◽

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Performance of Radial Basis Function and Support Vector Machine in time series forecasting

2010 International Conference on Intelligent and Advanced Systems ◽

10.1109/icias.2010.5716201 ◽

2010 ◽

Author(s):

M Mamat ◽

S A Samad

Keyword(s):

Time Series ◽

Support Vector Machine ◽

Radial Basis Function ◽

Basis Function ◽

Time Series Forecasting ◽

Support Vector ◽

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Chaotic time series forecasting using online least squares support vector machine regression

Acta Physica Sinica ◽

10.7498/aps.54.2568 ◽

2005 ◽

Vol 54 (6) ◽

pp. 2568

Author(s):

Ye Mei-Ying ◽

Wang Xiao-Dong ◽

Zhang Hao-Ran

Keyword(s):

Time Series ◽

Support Vector Machine ◽

Least Squares ◽

Time Series Forecasting ◽

Chaotic Time Series ◽

Support Vector ◽

Support Vector Machine Regression

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A Comparison of Time Series Forecasting using Support Vector Machine and Artificial Neural Network Model

Journal of Applied Sciences ◽

10.3923/jas.2010.950.958 ◽

2010 ◽

Vol 10 (11) ◽

pp. 950-958 ◽

Author(s):

R. Samsudin ◽

A. Shabri ◽

P. Saad

Keyword(s):

Neural Network ◽

Time Series ◽

Artificial Neural Network ◽

Support Vector Machine ◽

Network Model ◽

Neural Network Model ◽

Artificial Neural Network Model ◽

Time Series Forecasting ◽

Support Vector ◽

Artificial Neural

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