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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.
Text
References
Bibliographical reference
J. Pedro Neto, Hava T. Siegelmann and J. Félix Costa, « Implementation of Programming Languages with Neural Nets », CASYS, 1 | 1998, 200-208.
Electronic reference
J. Pedro Neto, Hava T. Siegelmann and J. Félix Costa, « Implementation of Programming Languages with Neural Nets », CASYS [Online], 1 | 1998, Online since 10 October 2024, connection on 26 December 2024. URL : http://popups.uliege.be/3041-539x/index.php?id=1118
Authors
J. Pedro Neto
Faculdade de Ciências da Universidade de Lisboa - Bloco C5 - Piso 1, 1700 Lisboa, Portugal
Hava T. Siegelmann
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