409 search results - page 1 / 82 » Evolutionary learning of small networks |
COMPLEXITY
2008
13 years 5 months ago
2008
Results are presented of a simulation which mimics an evolutionary learning process for small networks. Special features of these networks include a high recurrency, a transition ...
DAGM
2007
Springer
13 years 9 months ago
2007
Springer
Abstract. In this article we present EANT2, a method that creates neural networks (NNs) by evolutionary reinforcement learning. The structure of NNs is developed using mutation ope...
GECCO
2010
Springer
13 years 10 months ago
2010
Springer
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
BMCBI
2008
13 years 5 months ago
2008
Background: Inferring gene regulatory networks from data requires the development of algorithms devoted to structure extraction. When only static data are available, gene interact...
ICTAI
2003
IEEE
13 years 10 months ago
2003
IEEE
In bioinformatics, biochemical pathways can be modeled by many differential equations. It is still an open problem how to fit the huge amount of parameters of the equations to the...