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Authors: J. Freixas 1 and X. Molinero 2

Affiliations: 1 Escola Politècnica Superior d’Enginyeria de Manresa, Spain ; 2 Escola Politècnica Superior d'Enginyeria de Manresa, Spain

Keyword(s): Neural nets, Circuit-switching networks, Deterministic and structural pattern recognition.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; 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: An important consideration when applying neural networks is the sensitivity to weights and threshold in strict separating systems representing a linearly separable function. Two parameters have been introduced to measure the relative errors in weights and threshold of strict separating systems: the tolerance and the greatest tolerance. Given an arbitrary separating system we study which is the equivalent separating system that provides maximum tolerance or/and maximum greatest tolerance.

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Paper citation in several formats:
Freixas, J. and Molinero, X. (2010). MAXIMUM TOLERANCE AND MAXIMUM GREATEST TOLERANCE - Weights and Threshold of Strict Separating Systems. In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-674-021-4; ISSN 2184-433X, SciTePress, pages 511-514. DOI: 10.5220/0002706905110514

@conference{icaart10,
author={J. Freixas and X. Molinero},
title={MAXIMUM TOLERANCE AND MAXIMUM GREATEST TOLERANCE - Weights and Threshold of Strict Separating Systems},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2010},
pages={511-514},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002706905110514},
isbn={978-989-674-021-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - MAXIMUM TOLERANCE AND MAXIMUM GREATEST TOLERANCE - Weights and Threshold of Strict Separating Systems
SN - 978-989-674-021-4
IS - 2184-433X
AU - Freixas, J.
AU - Molinero, X.
PY - 2010
SP - 511
EP - 514
DO - 10.5220/0002706905110514
PB - SciTePress

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