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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

Referierte Veröffentlichung


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
Download: Media:2007_1457_Rudolph_Using_FCA_for_E_1.pdf