Advanced architectures distributed systems for the implementation of neural networks

Author(s):  
M. Copjak ◽  
M. Tomasek ◽  
J. Hurtuk
1996 ◽  
Vol 19 (4) ◽  
pp. 632-632 ◽  
Author(s):  
John A. Bullinaria ◽  
Nick Chater

AbstractMüller argues that double dissociations do not imply underlying modularity of the cognitive system, citing neural networks as examples of fully distributed systems that can give rise to double dissociations. We challenge this claim, noting that suchdouble dissociations typically do not “scale-up,” and that even some singledissociations can be difficult to account for in a distributed system.


2005 ◽  
Author(s):  
Andrei Papliatseyeu ◽  
Aliaksei Verkhaturau ◽  
Vladimir Kharkevich ◽  
Vladimir Lutkovski

2014 ◽  
pp. 18-22
Author(s):  
Nataliya Kussul ◽  
Andriy Shelestov ◽  
Serhiy Skakun

In this paper an agent approach for providing security in distributed systems such as computer networks, Grid systems is presented. This approach envisages on-line and off-line monitoring in order to analyze users’ activity. The monitoring is done with the use of intelligent methods, namely neural networks.


2000 ◽  
Vol 33 (10) ◽  
pp. 803-808
Author(s):  
M.P. Vega ◽  
E.L. Lima ◽  
J.C. Pinto

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