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ISCAS
2005
IEEE
154views Hardware» more  ISCAS 2005»
16 years 2 days 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
HYBRID
2005
Springer
16 years 15 hour ago
Bisimulation for General Stochastic Hybrid Systems
In this paper we define a bisimulation concept for some very general models for stochastic hybrid systems (general stochastic hybrid systems). The definition of bisimulation buil...
Manuela L. Bujorianu, John Lygeros, Marius C. Bujo...
ICANN
2005
Springer
16 years 13 hour ago
Information Visualization for Knowledge Extraction in Neural Networks
In this paper, a user-centred innovative method of knowledge extraction in neural networks is described. This is based on information visualization techniques and tools for artific...
Liz J. Stuart, Davide Marocco, Angelo Cangelosi
GECCO
2004
Springer
15 years 12 months ago
Modeling Selection Intensity for Toroidal Cellular Evolutionary Algorithms
We present quantitative models for the selection pressure of cellular evolutionary algorithms structured in two dimensional regular lattices. We derive models based on probabilisti...
Mario Giacobini, Enrique Alba, Andrea Tettamanzi, ...
HYBRID
2004
Springer
15 years 12 months ago
Discrete State Estimators for a Class of Hybrid Systems on a Lattice
In this paper we consider the problem of estimating discrete variables in a class of hybrid systems where we assume that the continuous variables are available for measurement. Usi...
Domitilla Del Vecchio, Richard M. Murray