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Authors: Jarosław Szkoła 1 ; Krzysztof Pancerz 1 and Jan Warchoł 2

Affiliations: 1 University of Information Technology and Management, Poland ; 2 Medical University of Lublin, Poland

Keyword(s): Recurrent neural networks, Learning of neural networks, Laryngopathies, Temporal patterns.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Medical Image Detection, Acquisition, Analysis and Processing ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: Recurrent neural networks can be used for pattern recognition in time series data due to their ability of memorizing some information from the past. The Elman networks are a classical representative of this kind of neural networks. In the paper, we show how to improve learning ability of the Elman network by modifying and combining it with another kind of a recurrent neural network, namely, with the Jordan network. The modified Elman-Jordan network manifests a faster and more exact achievement of the target pattern. Validation experiments were carried out on speech signals of patients with laryngopathies.

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Paper citation in several formats:
Szkoła, J.; Pancerz, K. and Warchoł, J. (2011). IMPROVING LEARNING ABILITY OF RECURRENT NEURAL NETWORKS - Experiments on Speech Signals of Patients with Laryngopathies. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2011) - BIOSIGNALS; ISBN 978-989-8425-35-5; ISSN 2184-4305, SciTePress, pages 360-364. DOI: 10.5220/0003292603600364

@conference{biosignals11,
author={Jarosław Szkoła. and Krzysztof Pancerz. and Jan Warchoł.},
title={IMPROVING LEARNING ABILITY OF RECURRENT NEURAL NETWORKS - Experiments on Speech Signals of Patients with Laryngopathies},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2011) - BIOSIGNALS},
year={2011},
pages={360-364},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003292603600364},
isbn={978-989-8425-35-5},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2011) - BIOSIGNALS
TI - IMPROVING LEARNING ABILITY OF RECURRENT NEURAL NETWORKS - Experiments on Speech Signals of Patients with Laryngopathies
SN - 978-989-8425-35-5
IS - 2184-4305
AU - Szkoła, J.
AU - Pancerz, K.
AU - Warchoł, J.
PY - 2011
SP - 360
EP - 364
DO - 10.5220/0003292603600364
PB - SciTePress