Inproceedings1457
Using FCA for Encoding of Closure Operators into Neural Networks
Using FCA for Encoding of Closure Operators into Neural Networks
Published: 2007
Juli
Herausgeber: Uta Priss, Simon Polovina, Richard Hill
Buchtitel: Conceptual Structures: Knowledge Architectures for Smart Applications, Proc. ICCS 2007
Ausgabe: 4604
Reihe: LNAI
Seiten: 321 -- 332
Verlag: Springer-Verlag
Erscheinungsort: Berlin Heidelberg
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Kurzfassung
After decades of concurrent development of symbolic and connectionist methods, recent years have shown intensifying efforts of integrating those two paradigms. This paper contributes to the development of methods for transferring present symbolic knowledge into connectionist
representations. Motivated by basic ideas from formal concept analysis, we propose two ways of directly encoding closure operators on finite sets in a 3-layered feed forward neural network.
ISBN: 978-3-540-73680-6
ISSN: 0302-9743
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