409 search results - page 24 / 82 » Evolutionary learning of small networks |
ISCAS
2003
IEEE
15 years 5 months ago
2003
IEEE
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
103
click to vote
GECCO
2006
Springer
15 years 3 months ago
2006
Springer
In this paper we present an evolutionary approach for inferring the structure and dynamics in gene circuits from observed expression kinetics. For representing the regulatory inte...
GECCO
2007
Springer
15 years 6 months ago
2007
Springer
A series of evolutionary neural network simulations are presented which explore the hypothesis that learning factors can result in the evolution of long periods of parental protec...
IJAR
2006
14 years 11 months ago
2006
We consider the problem of learning the parameters of a Bayesian network from data, while taking into account prior knowledge about the signs of influences between variables. Such...
PR
2007
14 years 11 months ago
2007
In this paper, we propose a new constructive method, based on cooperative coevolution, for designing automatically the structure of a neural network for classification. Our appro...