186 search results - page 2 / 38 » Computational Properties of Probabilistic Neural Networks |
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
—In this paper, we present three different methods for implementing the Probabilistic Neural Network on a Beowulf cluster computer. The three methods, Parallel Full Training Set ...
IWANN
2001
Springer
13 years 9 months ago
2001
Springer
In the beginning of nineties, Hava Siegelmann proposed a new computational model, the Artificial Recurrent Neural Network (ARNN), and proved that it could perform hypercomputation....
NCA
2008
IEEE
13 years 5 months ago
2008
IEEE
Motivated by the slow learning properties of multilayer perceptrons (MLPs) which utilize computationally intensive training algorithms, such as the backpropagation learning algorit...
ESANN
2008
13 years 6 months ago
2008
Computational neuroscience is an appealing interdisciplinary domain, at the interface between biology and computer science. It aims at understanding the experimental data obtained...
IWINAC
2007
Springer
13 years 11 months ago
2007
Springer
We consider a notion of morphism of neural networks and develop its properties. We show how, given any definite logic program P, the least fixed point of the immediate consequenc...