4167 search results - page 266 / 834 » Evolutionary functional testing |
106
Voted
ICANN
2009
Springer
15 years 10 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...
126
Voted
MIG
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. We present a system for automatically evolving neural networks as physics-based locomotion controllers for humanoid characters. Our approach provides two key features: (a...
136
Voted
ACSC
2005
IEEE
15 years 9 months ago
2005
IEEE
The global dynamics of automata networks (such as neural networks) are a function of their topology and the choice of automata used. Evolutionary methods can be applied to the opt...
111
Voted
CEC
2005
IEEE
15 years 9 months ago
2005
IEEE
We consider the (1+λ) evolution strategy, an evolutionary algorithm for minimization in Rn , using isotropic mutations. Thus, for instance, Gaussian mutations adapted by the 1/5-r...
117
Voted
GECCO
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. Evolutionary Algorithms (EAs) are population-based randomized optimizers often solving problems quite successfully. Here, the focus is on the possible effects of changin...