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Authors: Jürgen Klüver and Christina Klüver

Affiliation: University of Duisburg-Essen, Germany

Keyword(s): Neural networks, Topology, Basins of Attraction, Meaning Generating Capacity, Variance.

Abstract: The paper introduces the concept of meaning generating capacity (MC) of neural nets, i.e. a measure of information processing, depending on the size of basins of attraction. It can be shown that there is a significant relation between the variance values of the weight matrix of a network and its MC-values. By the concept of MC network characteristics like robustness and generalizing capability can be explained.

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Paper citation in several formats:
Klüver, J. and Klüver, C. (2009). Topologies and Meaning Generating Capacities of Neural Networks. In Proceedings of the 5th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2009) - Workshop ANNIIP; ISBN 978-989-674-002-3, SciTePress, pages 13-22. DOI: 10.5220/0002261600130022

@conference{workshop anniip09,
author={Jürgen Klüver. and Christina Klüver.},
title={Topologies and Meaning Generating Capacities of Neural Networks},
booktitle={Proceedings of the 5th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2009) - Workshop ANNIIP},
year={2009},
pages={13-22},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002261600130022},
isbn={978-989-674-002-3},
}

TY - CONF

JO - Proceedings of the 5th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2009) - Workshop ANNIIP
TI - Topologies and Meaning Generating Capacities of Neural Networks
SN - 978-989-674-002-3
AU - Klüver, J.
AU - Klüver, C.
PY - 2009
SP - 13
EP - 22
DO - 10.5220/0002261600130022
PB - SciTePress