References
Facsimile [PDF, 3.3M]

Implementation of Programming Languages with Neural Nets

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

p. 200-208

    Abstract

    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

    Text

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    References

    Bibliographical reference

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

    Electronic reference

    J. Pedro Neto, Hava T. Siegelman and J. Félix Costa, « Implementation of Programming Languages with Neural Nets », CASYS [Online], 1 | 1998, Online since 05 July 2024, connection on 19 September 2024. URL : http://popups.lib.uliege.be/1373-5411/index.php?id=1118

    Authors

    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

    Copyright

    CC BY-SA 4.0 Deed