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» Computational model for amygdala neural networks
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IWANN
2005
Springer
15 years 7 months ago
Direct and Recursive Prediction of Time Series Using Mutual Information Selection
Abstract. This paper presents a comparison between direct and recursive prediction strategies. In order to perform the input selection, an approach based on mutual information is u...
Yongnan Ji, Jin Hao, Nima Reyhani, Amaury Lendasse
TSMC
1998
132views more  TSMC 1998»
15 years 1 months ago
Decision support for vehicle dispatching using genetic programming
—Vehicle dispatching consists of allocating real-time service requests to a fleet of moving vehicles. In this paper, each vehicle is associated with a vector of attribute values...
Ilham Benyahia, Jean-Yves Potvin
IJCNN
2006
IEEE
15 years 8 months ago
How Not to Evaluate a Developmental System
—Computational models of development aim to describe the mechanisms that underlie the acquisition of new skills or the emergence of new capabilities. The strength of a model is j...
Frederick Shic, Brian Scassellati
NN
2002
Springer
208views Neural Networks» more  NN 2002»
15 years 1 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...
ATAL
2010
Springer
15 years 3 months ago
How important are updating schemes in multi-agent systems? An illustration on a multi-turmite model
It is to date an open question to know how the updating methods affect the evolution of a multi-agent system. This question has been tackled for various complex systems such as ce...
Nazim Fatès, Vincent Chevrier