640 search results - page 13 / 128 » Extracting Propositions from Trained Neural Networks |
ROMAN
2007
IEEE
14 years 1 months ago
2007
IEEE
Abstract—This paper presents the development and performance evaluation of a human-computer interface that enables a limb-disabled person to access a computer via neural signals....
IJCNN
2000
IEEE
13 years 11 months ago
2000
IEEE
This paper presents a staged series of artificial neural networks (ANNs) for phoneme recognition for text-to-speech applications. Contrary from much of the prior published literat...
TNN
1998
13 years 7 months ago
1998
—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
JMLR
2010
13 years 2 months ago
2010
Whereas before 2006 it appears that deep multilayer neural networks were not successfully trained, since then several algorithms have been shown to successfully train them, with e...
ICANN
2009
Springer
13 years 12 months ago
2009
Springer
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...