Encoding Closure Operators into Neural Networks
From International Center for Computational Logic
Encoding Closure Operators into Neural Networks
Sebastian RudolphSebastian Rudolph
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. CEUR
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. CEUR
- KurzfassungAbstract
Motivated by basic ideas from formal concept analysis, we proposetwo ways to directly encode closure operators on finite sets in a
3-layered feed forward neural network. - Forschungsgruppe:Research Group: Computational LogicComputational Logic
@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},
publisher = {CEUR},
year = {2007},
month = {January}
}