Showing the Equivalence of Two Training Algorithms, I

dc.contributor.authorKoch, Manueldeu
dc.contributor.authorFischer, Ingriddeu
dc.contributor.authorBerthold, Michael R.
dc.date.accessioned2013-08-22T08:22:22Zdeu
dc.date.available2013-08-22T08:22:22Zdeu
dc.date.issued1998
dc.description.abstractGraph transformations offer a powerful way to formally specify neural networks and their corresponding training algorithms. This formalism can be used to prove properties of these algorithms. In this paper graph transformations are used to show the equivalence of two training algorithms for recurrent neural networks; backpropagation through time, and a variant of real-time backpropagation. In addition to this proof a whole class of related training algorithms emerges from the used formalism.eng
dc.description.versionpublished
dc.identifier.citationThe 1998 IEEE International Joint Conference on Neural Networks Proceedings : IEEE World Congress on Computational Intelligence : May 4-May 9, 1998, Anchorage, Alaska, USA / [general chair: Patrick K. Simpson]. Piscataway : IEEE Service Center, 1998. - S. 447-456. - ISBN 0-7803-4859-1deu
dc.identifier.doi10.1109/IJCNN.1998.682308deu
dc.identifier.urihttp://kops.uni-konstanz.de/handle/123456789/24290
dc.language.isoengdeu
dc.legacy.dateIssued2013-08-22deu
dc.rightsterms-of-usedeu
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/deu
dc.subject.ddc004deu
dc.titleShowing the Equivalence of Two Training Algorithms, Ieng
dc.typeINPROCEEDINGSdeu
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kops.citation.bibtex
@inproceedings{Koch1998Showi-24290,
  year={1998},
  doi={10.1109/IJCNN.1998.682308},
  title={Showing the Equivalence of Two Training Algorithms, I},
  isbn={0-7803-4859-1},
  publisher={IEEE},
  booktitle={1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227)},
  pages={447--456},
  author={Koch, Manuel and Fischer, Ingrid and Berthold, Michael R.}
}
kops.citation.iso690KOCH, Manuel, Ingrid FISCHER, Michael R. BERTHOLD, 1998. Showing the Equivalence of Two Training Algorithms, I. ICNN '98 - International Conference on Neural Networks. Anchorage, AK, USA. In: 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227). IEEE, 1998, pp. 447-456. ISBN 0-7803-4859-1. Available under: doi: 10.1109/IJCNN.1998.682308deu
kops.citation.iso690KOCH, Manuel, Ingrid FISCHER, Michael R. BERTHOLD, 1998. Showing the Equivalence of Two Training Algorithms, I. ICNN '98 - International Conference on Neural Networks. Anchorage, AK, USA. In: 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227). IEEE, 1998, pp. 447-456. ISBN 0-7803-4859-1. Available under: doi: 10.1109/IJCNN.1998.682308eng
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kops.conferencefieldICNN '98 - International Conference on Neural Networks, Anchorage, AK, USAdeu
kops.flag.knbibliographyfalse
kops.identifier.nbnurn:nbn:de:bsz:352-242907deu
kops.location.conferenceAnchorage, AK, USA
kops.sourcefield<i>1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227)</i>. IEEE, 1998, pp. 447-456. ISBN 0-7803-4859-1. Available under: doi: 10.1109/IJCNN.1998.682308deu
kops.sourcefield.plain1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227). IEEE, 1998, pp. 447-456. ISBN 0-7803-4859-1. Available under: doi: 10.1109/IJCNN.1998.682308deu
kops.sourcefield.plain1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227). IEEE, 1998, pp. 447-456. ISBN 0-7803-4859-1. Available under: doi: 10.1109/IJCNN.1998.682308eng
kops.submitter.emailchristoph.petzmann@uni-konstanz.dedeu
kops.title.conferenceICNN '98 - International Conference on Neural Networks
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source.identifier.isbn0-7803-4859-1
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source.title1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227)

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