1701 search results - page 121 / 341 » Learning Mappings with Neural Network |
151
click to vote
ISNN
2005
Springer
15 years 10 months ago
2005
Springer
Abstract. This paper proposes a novel algorithm based on informax for postnonlinear blind source separation. The demixing system culminates to a neural network with sandwiched stru...
125
Voted
ICANN
2005
Springer
15 years 10 months ago
2005
Springer
The use of entropy as a cost function in the neural network learning phase usually implies that, in the back-propagation algorithm, the training is done in batch mode. Apart from t...
178
Voted
WIRN
2005
Springer
15 years 10 months ago
2005
Springer
Recursive neural networks are a powerful tool for processing structured data. According to the recursive learning paradigm, the input information consists of directed positional ac...
131
Voted
BIOCOMP
2006
15 years 6 months ago
2006
- The rapid growth in the amount of molecular genetic data being collected will, in many cases, require the development of new analytic methods for the analysis of that data. In th...
143
click to vote
ICPR
2004
IEEE
16 years 6 months ago
2004
IEEE
In an experiment with a soccer playing robot, periodic temporally-constrained nonlinear principal component neural networks (NLPCNNs) are shown to characterize humanoid motion eff...