Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

28

IJCAI
2007

favoriteEmaildiscussreport

142views Artificial Intelligence» more IJCAI 2007»

Encoding Closure Operators into Neural Networks

13 years 10 months ago

Encoding Closure Operators into Neural Networks

Download sunsite.informatik.rwth-aachen.de

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.

Sebastian Rudolph

Real-time Traffic

Artificial Intelligence | Closure Operators | Feed Forward | Formal Concept Analysis | IJCAI 2007 |

claim paper

Related Content

» Using FCA for Encoding Closure Operators into Neural Networks

» Graph Grammar Encoding and Evolution of Automata Networks

» Shortcomings with TreeStructured Edge Encodings for Neural Networks

» A General Framework for Encoding and Evolving Neural Networks

» Noise suppressing sensor encoding and neural signal orthonormalization

» Shortcomings with using edge encodings to represent graph structures

» A Simulation Study on the Encoding Mechanism of Retinal Ganglion Cell

» SOMBased Sparse Binary Encoding for AURA Classifier

» SEPA Structure Evolution and Parameter Adaptation in FeedForward Neural Networks

Post Info
More Details (n/a)

Added	29 Oct 2010
Updated	29 Oct 2010
Type	Conference
Year	2007
Where	IJCAI
Authors	Sebastian Rudolph

Comments (0)