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CCE
2008
14 years 10 months ago
Differential recurrent neural network based predictive control
An efficient algorithm to train general differential recurrent neural networks is proposed. The trained network can be directly used as the internal model of a predictive controll...
R. K. Al Seyab, Yi Cao
IGPL
2010
86views more  IGPL 2010»
14 years 8 months ago
Perspectives and challenges for recurrent neural network training
Marco Gori, Barbara Hammer, Pascal Hitzler, Guenth...
ICASSP
2009
IEEE
14 years 7 months ago
Phonological features in discriminative classification of dysarthric speech
In an attempt to overcome problems associated with articulatory limitations and generative models, this work considers the use of phonological features in discriminative models fo...
Frank Rudzicz
ICANN
2001
Springer
15 years 2 months ago
Online Symbolic-Sequence Prediction with Discrete-Time Recurrent Neural Networks
This paper studies the use of discrete-time recurrent neural networks for predicting the next symbol in a sequence. The focus is on online prediction, a task much harder than the c...
Juan Antonio Pérez-Ortiz, Jorge Calera-Rubi...
VTC
2006
IEEE
110views Communications» more  VTC 2006»
15 years 3 months ago
Recurrent Neural Network Based Narrowband Channel Prediction
Abstract—In this contribution, the application of fully connected recurrent neural networks (FCRNNs) is investigated in the context of narrowband channel prediction. Three differ...
Wei Liu, Lie-Liang Yang, Lajos Hanzo