325 search results - page 20 / 65 » Evolvable network architectures: what can we learn from biol... |
ICCS
2003
Springer
14 years 1 months ago
2003
Springer
Biomedical systems involve complex interactions between diverse components. Problem solving in such systems requires insight, i.e. the capability to make non-obvious connections. I...
ESANN
2006
13 years 10 months ago
2006
It has been proposed that chaos can serve as a reservoir providing an infinite number of dynamical states [1, 2, 3, 4, 5]. These can be interpreted as different behaviors, search a...
ICANN
2010
Springer
13 years 9 months ago
2010
Springer
Learning processes allow the central nervous system to learn relationships between stimuli. Even stimuli from different modalities can easily be associated, and these associations ...
Publication
he significant increase in the available computational power that took place in recent decades has been accompanied by a growing interest in the application of the evolutionary ap...
ICANN
2010
Springer
13 years 9 months ago
2010
Springer
3D shape determines an object's physical properties to a large degree. In this article, we introduce an autonomous learning system for categorizing 3D shape of simulated objec...