<title>Decompositional hierarchical self-organizing networks applied to time series forecasting</title>

Novelty Detection in Time Series Through Self-Organizing Networks: An Empirical Evaluation of Two Different Paradigms

2008 10th Brazilian Symposium on Neural Networks ◽

10.1109/sbrn.2008.21 ◽

2008 ◽

Cited By ~ 2

Author(s):

Leonardo Aguayo ◽

Guilherme A. Barreto

Keyword(s):

Time Series ◽

Novelty Detection ◽

Empirical Evaluation ◽

Self Organizing Networks ◽

Self Organizing

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A novel self-organizing complex neuro-fuzzy approach to the problem of time series forecasting

Neurocomputing ◽

10.1016/j.neucom.2012.07.014 ◽

2013 ◽

Vol 99 ◽

pp. 467-476 ◽

Cited By ~ 18

Author(s):

Chunshien Li ◽

Tai-Wei Chiang ◽

Long-Ching Yeh

Keyword(s):

Time Series ◽

Time Series Forecasting ◽

Fuzzy Approach ◽

Problem Of Time ◽

Neuro Fuzzy ◽

Self Organizing

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Time series forecasting by combining the radial basis function network and the self-organizing map

Hydrological Processes ◽

10.1002/hyp.5637 ◽

2005 ◽

Vol 19 (10) ◽

pp. 1925-1937 ◽

Cited By ~ 41

Author(s):

Gwo-Fong Lin ◽

Lu-Hsien Chen

Keyword(s):

Time Series ◽

Radial Basis Function ◽

Basis Function ◽

Radial Basis Function Network ◽

Time Series Forecasting ◽

The Self ◽

Self Organizing Map ◽

Radial Basis ◽

Function Network ◽

Self Organizing

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High-dimensional Multivariate Time Series Forecasting using Self-Organizing Maps and Fuzzy Time Series

2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) ◽

10.1109/fuzz45933.2021.9494496 ◽

2021 ◽

Author(s):

Matheus Cascalho dos Santos ◽

Frederico Gadelha Guimaraes ◽

Petronio Candido de Lima e Silva

Keyword(s):

Time Series ◽

Multivariate Time Series ◽

Time Series Forecasting ◽

Fuzzy Time Series ◽

High Dimensional ◽

Self Organizing Maps ◽

Self Organizing

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Time series forecasting: Obtaining long term trends with self-organizing maps

Pattern Recognition Letters ◽

10.1016/j.patrec.2005.03.002 ◽

2005 ◽

Vol 26 (12) ◽

pp. 1795-1808 ◽

Cited By ~ 35

Author(s):

G. Simon ◽

A. Lendasse ◽

M. Cottrell ◽

J.-C. Fort ◽

M. Verleysen

Keyword(s):

Time Series ◽

Time Series Forecasting ◽

Self Organizing Maps ◽

Long Term Trends ◽

Self Organizing

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A hybrid model of self-organizing maps (SOM) and least square support vector machine (LSSVM) for time-series forecasting

Expert Systems with Applications ◽

10.1016/j.eswa.2011.02.107 ◽

2011 ◽

Vol 38 (8) ◽

pp. 10574-10578 ◽

Cited By ~ 71

Author(s):

Shuhaida Ismail ◽

Ani Shabri ◽

Ruhaidah Samsudin

Keyword(s):

Time Series ◽

Support Vector Machine ◽

Hybrid Model ◽

Time Series Forecasting ◽

Least Square ◽

Support Vector ◽

Self Organizing Maps ◽

Self Organizing

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Improved financial time series forecasting by combining Support Vector Machines with self-organizing feature map

Intelligent Data Analysis ◽

10.3233/ida-2001-5405 ◽

2001 ◽

Vol 5 (4) ◽

pp. 339-354 ◽

Cited By ~ 47

Author(s):

Francis Eng Hock Tay ◽

Li Juan Cao

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Financial Time Series ◽

Time Series Forecasting ◽

Support Vector ◽

Feature Map ◽

Financial Time ◽

Vector Machines ◽

Self Organizing

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COMBINING THE RADIAL BASIS FUNCTION NETWORK WITH THE SELF-ORGANIZING MAP FOR TIME SERIES FORECASTING

Hydroinformatics ◽

10.1142/9789812702838_0176 ◽

2004 ◽

pp. 1425-1432

Author(s):

GWO-FONG LIN ◽

LU-HSIEN CHEN

Keyword(s):

Time Series ◽

Radial Basis Function ◽

Basis Function ◽

Radial Basis Function Network ◽

Time Series Forecasting ◽

The Self ◽

Self Organizing Map ◽

Radial Basis ◽

Function Network ◽

Self Organizing

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Wavelet-Based Denoising for Traffic Volume Time Series Forecasting with Self-Organizing Neural Networks

Computer-Aided Civil and Infrastructure Engineering ◽

10.1111/j.1467-8667.2010.00668.x ◽

2010 ◽

Vol 25 (7) ◽

pp. 530-545 ◽

Cited By ~ 80

Author(s):

Daniel Boto-Giralda ◽

Francisco J. Díaz-Pernas ◽

David González-Ortega ◽

José F. Díez-Higuera ◽

Míriam Antón-Rodríguez ◽

...

Keyword(s):

Neural Networks ◽

Time Series ◽

Traffic Volume ◽

Time Series Forecasting ◽

Self Organizing

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A Self-Organizing Mixture Extreme Leaning Machine for Time Series Forecasting

Proceedings of ELM-2014 Volume 1 - Proceedings in Adaptation, Learning and Optimization ◽

10.1007/978-3-319-14063-6_20 ◽

2015 ◽

pp. 225-236 ◽

Cited By ~ 1

Author(s):

Hou Muzhou ◽

Chen Ming ◽

Zhang Yangchun

Keyword(s):

Time Series ◽

Time Series Forecasting ◽

Self Organizing

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