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Authors: Weiwei Zong ; Yuan Lan and Guang-Bin Huang

Affiliation: Nanyang Technological University, Singapore

Keyword(s): Feedforward network, Extreme learning machine, Online sequential learning.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Classification ; Computational Intelligence ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; On-Line Learning ; Pattern Recognition ; Physiological Computing Systems ; Regression ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: The latest development (Huang et al., 2011) has shown that better generalization performance can be obtained for extreme learning machine (ELM) by adding a positive value to the diagonal of HTH or HHT , where H is the hidden layer output matrix. This paper further extends this enhanced ELM to online sequential learning mode. An online sequential learning algorithm is proposed for SLFNs and other regularization networks, consisting of two formulas for two kinds of scenarios: when initial training data is of small scale or large scale. Performance of proposed online sequential learning algorithm is demonstrated through six benchmarking data sets for both regression and multi-class classification problems.

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Paper citation in several formats:
Zong, W.; Lan, Y. and Huang, G. (2012). ONLINE SEQUENTIAL LEARNING BASED ON ENHANCED EXTREME LEARNING MACHINE USING LEFT OR RIGHT PSEUDO-INVERSE. In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM; ISBN 978-989-8425-98-0; ISSN 2184-4313, SciTePress, pages 300-305. DOI: 10.5220/0003777603000305

@conference{icpram12,
author={Weiwei Zong. and Yuan Lan. and Guang{-}Bin Huang.},
title={ONLINE SEQUENTIAL LEARNING BASED ON ENHANCED EXTREME LEARNING MACHINE USING LEFT OR RIGHT PSEUDO-INVERSE},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM},
year={2012},
pages={300-305},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003777603000305},
isbn={978-989-8425-98-0},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM
TI - ONLINE SEQUENTIAL LEARNING BASED ON ENHANCED EXTREME LEARNING MACHINE USING LEFT OR RIGHT PSEUDO-INVERSE
SN - 978-989-8425-98-0
IS - 2184-4313
AU - Zong, W.
AU - Lan, Y.
AU - Huang, G.
PY - 2012
SP - 300
EP - 305
DO - 10.5220/0003777603000305
PB - SciTePress