4615 search results - page 764 / 923 » Complex networks as control paradigm for complex systems |
213
click to vote
AI
2009
Springer
16 years 1 months ago
2009
Springer
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
178
click to vote
WSOM
2009
Springer
16 years 1 months ago
2009
Springer
We propose Merge Growing Neural Gas (MGNG) as a novel unsupervised growing neural network for time series analysis. MGNG combines the state-of-the-art recursive temporal context of...
204
click to vote
ICANNGA
2009
Springer
16 years 1 months ago
2009
Springer
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
176
click to vote
IWANN
2009
Springer
16 years 1 months ago
2009
Springer
Controlling a biped robot with several degrees of freedom is a challenging task that takes the attention of several researchers in the fields of biology, physics, electronics, com...
177
click to vote
ICC
2007
IEEE
16 years 25 days ago
2007
IEEE
Abstract— In this paper, we propose an unequal error protection (UEP) framework for progressive image transmission over wireless networks with both random errors and packet loss....