Encoding Closure Operators into Neural Networks

Sebastian RudolphSebastian Rudolph

ISSN: 1613-0073
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Sebastian Rudolph
Encoding Closure Operators into Neural Networks
In A. S. d'Avila Garcez, P. Hitzler and G. Tamburrini, eds., Proceedings of the Third International Workshop on Neural-Symbolic Learning and Reasoning, volume 230 of CEUR Workshop Proceedings, January 2007

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KurzfassungAbstract
Motivated by basic ideas from formal concept analysis, we propose
two ways to directly encode closure operators on finite sets in a
3-layered feed forward neural network.
Projekt:Project: ReaSem, NeOn
Forschungsgruppe:Research Group: Wissensmanagement„Wissensmanagement“ befindet sich nicht in der Liste (Computational Logic, Automatentheorie, Wissensverarbeitung, Knowledge-Based Systems, Knowledge Systems, Wissensbasierte Systeme, Logische Programmierung und Argumentation, Algebra und Diskrete Strukturen, Knowledge-aware Artificial Intelligence, Algebraische und logische Grundlagen der Informatik) zulässiger Werte für das Attribut „Forschungsgruppe“.Wissensmanagement

@inproceedings{R2007,
  author    = {Sebastian Rudolph},
  title     = {Encoding Closure Operators into Neural Networks},
  editor    = {A. S. {d'Avila} Garcez and P. Hitzler and G. Tamburrini},
  booktitle = {Proceedings of the Third International Workshop on
               Neural-Symbolic Learning and Reasoning},
  series    = {CEUR Workshop Proceedings},
  volume    = {230},
  year      = {2007},
  month     = {January}
}