401 search results - page 23 / 81 » Evolving a neural network using dyadic connections |
GECCO
1999
Springer
14 years 1 days ago
1999
Springer
In this work MagnetoEncephaloGram (MEG) recordings of epileptic patients were analyzed using a hybrid neural networks training algorithm. This algorithm combines genetic algorithm...
OL
2011
13 years 2 months ago
2011
Given a simple undirected graph, the minimum connected dominating set problem is to find a minimum cardinality subset of vertices D inducing a connected subgraph such that each ve...
NC
2002
13 years 7 months ago
2002
In this paper, Parallel Evolutionary Algorithms for integer weight neural network training are presented. To this end, each processor is assigned a subpopulation of potential solut...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
Opponent models are necessary in games where the game state is only partially known to the player, since the player must infer the state of the game based on the opponent’s acti...
SMI
2003
IEEE
14 years 1 months ago
2003
IEEE
We study the use of neural network algorithms in surface reconstruction from an unorganized point cloud, and meshing of an implicit surface. We found that for such applications, t...