1377 search results - page 29 / 276 » Neural Computing |
CEC
2005
IEEE
14 years 1 months ago
2005
IEEE
It is well known that incremental learning can often be difficult for traditional neural network systems, due to newly learned information interfering with previously learned infor...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Abstract The Little-Hopfield neural network programmed with Horn clauses is studied. We argue that the energy landscape of the system, corresponding to the inconsistency function f...
ICANN
2010
Springer
13 years 8 months ago
2010
Springer
Training convolutional neural networks (CNNs) on large sets of high-resolution images is too computationally intense to be performed on commodity CPUs. Such architectures however ...
ICANN
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. Spiking Neuron Networks (SNNs) overcome the computational power of neural networks made of thresholds or sigmoidal units. Indeed, SNNs add a new dimension, the temporal a...
FLAIRS
2006
13 years 9 months ago
2006
In this paper, we apply artificial neural networks to control the targeting system of a robotic tank in a tank-combat computer game (RoboCode). We suggest an algorithm that not on...