41 search results - page 3 / 9 » Long-term attraction in higher order neural networks |
ICC
2007
IEEE
14 years 4 days ago
2007
IEEE
— Recognition of digital signal type is an important topic for various applications. In this paper a method is presented that identifies different types of digital signals. This ...
GECCO
2004
Springer
13 years 11 months ago
2004
Springer
This study describes how complex goal-directed behavior can evolve in a hierarchically organized recurrent neural network controlling a simulated Khepera robot. Different types of ...
IJCNN
2006
IEEE
13 years 12 months ago
2006
IEEE
Wrapper-based feature selection is attractive because wrapper methods are able to optimize the features they select to the specific learning algorithm. Unfortunately, wrapper met...
GLOBECOM
2009
IEEE
14 years 17 days ago
2009
IEEE
—Scheduling techniques are often deployed at the network edge to maximize the quality of the video communication while satisfying a given constraint on the maximum high priority ...
IJCNN
2006
IEEE
13 years 12 months ago
2006
IEEE
— Higher order networks allow modelling of correlates and geometrically invariant properties. Current techniques for their development either require domain knowledge, or are con...