Citer cet article
Fac-similé [PDF, 3.3M]

Implementation of Programming Languages with Neural Nets

J. Pedro Neto, Hava T. Siegelman et J. Félix Costa

p. 200-208

    Résumé

    In this paper we present the implementation of control structures of a high-level concurrent programming language into the machine level of analog recurrent neural nets. Neural nets can thus perform high-level symbolic tasks, together with their reputed subsymbolic learning capabilities. We emphasize the construction of neural software capable of integrating both learning and programmed control modules.

    Index

    Keywords

    analog computation, symbolic and subsymbolic computation, neural computation, recurrent neural nets

    Texte

    Version Fac-similé [PDF, 3.3M]

    Citer cet article

    Référence papier

    J. Pedro Neto, Hava T. Siegelman et J. Félix Costa, « Implementation of Programming Languages with Neural Nets », CASYS, 1 | 1998, 200-208.

    Référence électronique

    J. Pedro Neto, Hava T. Siegelman et J. Félix Costa, « Implementation of Programming Languages with Neural Nets », CASYS [En ligne], 1 | 1998, mis en ligne le 05 July 2024, consulté le 20 September 2024. URL : http://popups.lib.uliege.be/1373-5411/index.php?id=1118

    Auteurs

    J. Pedro Neto

    Faculdade de Ciências da Universidade de Lisboa - Bloco C5 - Piso 1, 1700 Lisboa, Portugal

    Hava T. Siegelman

    Faculty of Industrial Engineering and Management - Technion City, Haäfa 32000, Israël

    J. Félix Costa

    Faculdade de Ciências da Universidade de Lisboa - Bloco C5 - Piso 1, 1700 Lisboa, Portugal

    Droits d'auteur

    CC BY-SA 4.0 Deed