Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/73316
| Title: | Turing universality of neural nets (revisited) | Authors: | Neto, Pedro J. Siegelmann, Hava T. Costa, Félix J. Suárez Araujo, C. P. |
UNESCO Clasification: | 120304 Inteligencia artificial | Keywords: | Modularity Neural computation Recursive function theory |
Issue Date: | 1997 | Journal: | Lecture Notes in Computer Science | Conference: | 6th International Workshop on Computer Aided Systems Theory, EUROCAST 1997 | Abstract: | We show how to use recursive function theory to prove Turing universality of finite analog recurrent neural nets, with a piecewise linear sigmoid function as activation function. We emphasize the modular construction of nets within nets, a relevant issue from the software engineering point of view. | URI: | http://hdl.handle.net/10553/73316 | ISBN: | 3-540-63811-3 | ISSN: | 0302-9743 | DOI: | 10.1007/BFb0025058 | Source: | Pichler F., Moreno-Díaz R. (eds) Computer Aided Systems Theory — EUROCAST 1997. Lecture Notes in Computer Science, v. 1333, p. 361-366. Springer, Berlin, Heidelberg [ISSN 0302-9743], (Enero 1997) |
| Appears in Collections: | Actas de congresos |
SCOPUSTM
Citations
12
checked on Nov 24, 2024
Page view(s)
85
checked on Jul 20, 2024
Google ScholarTM
Check
Altmetric
Share
Export metadata
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.