| I.Kollia, N. Simou, G. Stamou and A. Stafylopatis |
| Connectionist Models For Formal Knowledge Adaptation |
| 19th International Conference on Artificial Neural Networks (ICANN 2009), September 2009, Limassol, Cyprus |
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ABSTRACT
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| Both symbolic knowledge representation systems and artificial neural networks play a significant role in Artificial Intelligence. A recent trend in the field aims at interweaving these techniques, in order to improve robustness and performance of classification and clustering systems. In this paper, we present a novel architecture based on the connectionist adaptation of ontological knowledge. The proposed architecture was used effectively to improve image segment classification within a multimedia application scenario.
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| 14 September, 2009 |
| I.Kollia, N. Simou, G. Stamou and A. Stafylopatis, "Connectionist Models For Formal Knowledge Adaptation", 19th International Conference on Artificial Neural Networks (ICANN 2009), September 2009, Limassol, Cyprus |
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