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» The Recurrent Control Neural Network
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ATAL
2006
Springer
15 years 1 months ago
Learning a common language through an emergent interaction topology
We study the effects of various emergent topologies of interaction on the rate of language convergence in a population of communicating agents. The agents generate, parse, and lea...
Samarth Swarup, Kiran Lakkaraju, Les Gasser
NPL
2006
85views more  NPL 2006»
14 years 9 months ago
A Neural Model for Context-dependent Sequence Learning
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
Luc Berthouze, Adriaan G. Tijsseling
ISCAS
2005
IEEE
154views Hardware» more  ISCAS 2005»
15 years 3 months ago
Back propagation learning of neural networks with chaotically-selected affordable neurons
— Cell assembly is one of explanations of information processing in the brain, in which an information is represented by a firing space pattern of a group of plural neurons. On ...
Yoko Uwate, Yoshifumi Nishio
FLAIRS
2006
14 years 11 months ago
An Artificial Neural Network for a Tank Targeting System
In this paper, we apply artificial neural networks to control the targeting system of a robotic tank in a tank-combat computer game (RoboCode). We suggest an algorithm that not on...
Hans W. Guesgen, Xiao Dong Shi
ETFA
2008
IEEE
15 years 4 months ago
A neural network delay compensator for networked control systems
This paper presents a neural network delay compensator to reduce the variable sampling to actuation delay effects in networked control systems The compensator action is based on t...
Ana Antunes, Fernando Morgado Dias, Alexandre Mota