248 search results - page 10 / 50 » Adapting RBF Neural Networks to Multi-Instance Learning |
CEC
2010
IEEE
13 years 8 months ago
2010
IEEE
A key feature in population based optimization algorithms is the ability to explore a search space and make a decision based on multiple solutions. In this paper, an incremental le...
HIS
2008
13 years 9 months ago
2008
Artificial Neural Networks for online learning problems are often implemented with synaptic plasticity to achieve adaptive behaviour. A common problem is that the overall learning...
ICIG
2009
IEEE
13 years 5 months ago
2009
IEEE
Optical flow estimation is one of the main subjects in computer vision. Many methods developed to compute the motion fields are built using standard heuristic formulation. In this...
ICRA
2000
IEEE
14 years 3 days ago
2000
IEEE
In this paper, a neural network controller for constrained robot manipulators is presented. A feedforward neural network is used to adaptively compensate for the uncertainties in ...
ICANN
2007
Springer
13 years 9 months ago
2007
Springer
A multilayer neural network based on multi-valued neurons (MLMVN) is a new powerful tool for solving classification, recognition and prediction problems. This network has a number ...