Recurrent Neural Networks to Approximate the Semantics of Acceptable Logic Programs

Aus International Center for Computational Logic
Wechseln zu:Navigation, Suche

Toggle side column

Recurrent Neural Networks to Approximate the Semantics of Acceptable Logic Programs

Steffen HölldoblerSteffen Hölldobler,  Yvonne KalinkeYvonne Kalinke
Recurrent Neural Networks to Approximate the Semantics of Acceptable Logic Programs


Steffen Hölldobler, Yvonne Kalinke
Recurrent Neural Networks to Approximate the Semantics of Acceptable Logic Programs
NIPS-97 Workshop on Learning dynamical data structures: From sequences to graphs, December 1997
@inproceedings{HK1997,
  author    = {Steffen H{\"{o}}lldobler and Yvonne Kalinke},
  title     = {Recurrent Neural Networks to Approximate the Semantics of
               Acceptable Logic Programs},
  booktitle = {NIPS-97 Workshop on Learning dynamical data structures: From
               sequences to graphs},
  year      = {1997},
  month     = {December}
}