loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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

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

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.200.240.205

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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; ISSN 2184-2809, SciTePress, 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},
issn={2184-2809},
}

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
IS - 2184-2809
AU - Górriz, J.
AU - Puntonet, C.
AU - Lang, E.
PY - 2004
SP - 103
EP - 107
DO - 10.5220/0001124301030107
PB - SciTePress