370 search results - page 48 / 74 » Evolving neural network ensembles for control problems |
153
click to vote
GECCO
2004
Springer
15 years 11 months ago
2004
Springer
In evolutionary algorithms a common method for encoding neural networks is to use a tree-structured assembly procedure for constructing them. Since node operators have difficulties...
149
click to vote
AUSAI
1999
Springer
15 years 10 months ago
1999
Springer
Abstract. Q-learning can be used to learn a control policy that maximises a scalar reward through interaction with the environment. Qlearning is commonly applied to problems with d...
200
click to vote
JMLR
2010
15 years 29 days ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
185
click to vote
SBRN
2008
IEEE
16 years 17 days ago
2008
IEEE
The design of an autonomous navigation system for mobile robots can be a tough task. Noisy sensors, unstructured environments and unpredictability are among the problems which mus...
162
click to vote
IDEAL
2004
Springer
15 years 11 months ago
2004
Springer
This paper defines a constrained Artificial Neural Network (ANN) that can be employed for highly-dependable roles in safety critical applications. The derived model is based upon t...