626 search results - page 25 / 126 » Evolving Artificial Neural Networks that Develop in Time |
IWANN
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. This paper presents a study in which a new technique for automatically developing Artificial Neural Networks (ANNs) by means of Evolutionary Computation (EC) tools is com...
NIPS
2000
13 years 8 months ago
2000
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....
IJON
2007
13 years 7 months ago
2007
Many neural networks, such as the complex cortical networks of the mammalian brain, are organized in multiple clusters, with many connections within but few links between clusters...
ICANN
2009
Springer
14 years 2 months ago
2009
Springer
The best recent supervised sequence learning methods use gradient descent to train networks of miniature nets called memory cells. The most popular cell structure seems somewhat ar...
PPSN
2004
Springer
14 years 23 days ago
2004
Springer
In this paper, we aim to design decision-making mechanisms for an autonomous robot equipped with simple sensors, which integrates over time its perceptual experience in order to in...