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Authors: J. M. Górriz 1 ; C. G. Puntonet 2 and E. W. Lang 3

Affiliations: 1 University of Cádiz, Spain ; 2 University of Granada, Spain ; 3 University of Regensburg, Germany

ISBN: 972-8865-12-0

ISSN: 2184-2809

Keyword(s): Support vector machines, structural risk minimization, kernel, on-line algorithms, matrix decompositions, resource allocating network.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Hybrid Learning Systems ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Knowledge-Based Systems Applications ; Machine Learning in Control Applications

Abstract: In this paper we show a new on-line parametric model for time series forecasting based on Vapnik- Chervonenkis (VC) theory. Using the strong connection between support vector machines (SVM) and Regularization theory (RT), we propose a regularization operator in order to obtain a suitable expansion of radial basis functions (RBFs) with the corresponding expressions for updating neural parameters. This operator seeks for the “attest” function in a feature space, minimizing the risk functional. Finally we mention some modifications and extensions that can be applied to control neural resources and select relevant input space.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Górriz, J.; Puntonet, C. and Lang, E. (2004). HYBRID SOM-SVM ALGORITHM FOR REAL TIME SERIES FORECASTING.In Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 972-8865-12-0, pages 103-107. DOI: 10.5220/0001124301030107

@conference{icinco04,
author={J. M. Górriz and C. G. Puntonet and E. W. Lang},
title={HYBRID SOM-SVM ALGORITHM FOR REAL TIME SERIES FORECASTING},
booktitle={Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2004},
pages={103-107},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001124301030107},
isbn={972-8865-12-0},
}

TY - CONF

JO - Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - HYBRID SOM-SVM ALGORITHM FOR REAL TIME SERIES FORECASTING
SN - 972-8865-12-0
AU - Górriz, J.
AU - Puntonet, C.
AU - Lang, E.
PY - 2004
SP - 103
EP - 107
DO - 10.5220/0001124301030107

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