Sciweavers

227 search results - page 4 / 46
» A new look at state-space models for neural data
Sort
View
ICANN
2009
Springer
13 years 10 months ago
An EM Based Training Algorithm for Recurrent Neural Networks
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Jan Unkelbach, Yi Sun, Jürgen Schmidhuber
TNN
2010
115views Management» more  TNN 2010»
13 years 14 days ago
New Approach for the Identification and Validation of a Nonlinear F/A-18 Model by Use of Neural Networks
This paper presents a new approach for identifying and validating the F/A-18 aeroservoelastic model, based on flight flutter tests. The neural network (NN), trained with five diffe...
N. Boely, R. M. Botez
WWW
2005
ACM
14 years 6 months ago
Adaptive page ranking with neural networks
Recent developments in the area of neural networks provided new models which are capable of processing general types of graph structures. Neural networks are well-known for their ...
Franco Scarselli, Sweah Liang Yong, Markus Hagenbu...
IJCNN
2000
IEEE
13 years 10 months ago
Probabilistic Neural Network Models for Sequential Data
It has already been shown how Artificial Neural Networks (ANNs) can be incorporated into probabilistic models. In this paper we review some of the approaches which have been prop...
Yoshua Bengio
IJCNN
2000
IEEE
13 years 10 months ago
A New Method for Tracking Modulations in Tonal Music in Audio Data Format
Cq-profiles are 12-dimensional vectors, each component referring to a pitch class. They can be employed to represent keys. Cq-profiles are calculated with the constant Q filter...
Hendrik Purwins, Benjamin Blankertz, Klaus Obermay...