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NECO
2002
106views more  NECO 2002»
14 years 9 months ago
Learning Nonregular Languages: A Comparison of Simple Recurrent Networks and LSTM
In response to Rodriguez' recent article (2001) we compare the performance of simple recurrent nets and "Long Short-Term Memory" (LSTM) recurrent nets on context-fr...
Jürgen Schmidhuber, Felix A. Gers, Douglas Ec...
NPL
2011
14 years 18 days ago
A Neural Network Scheme for Long-Term Forecasting of Chaotic Time Series
The accuracy of a model to forecast a time series diminishes as the prediction horizon increases, in particular when the prediction is carried out recursively. Such decay is faster...
Pilar Gómez-Gil, Juan Manuel Ramírez...
IJCNN
2006
IEEE
15 years 3 months ago
Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP
— Cellular simultaneous recurrent neural network has been suggested to be a function approximator more powerful than the MLP’s, in particular for solving approximate dynamic pr...
Roman Ilin, Robert Kozma, Paul J. Werbos
CONNECTION
2004
71views more  CONNECTION 2004»
14 years 9 months ago
Lack of combinatorial productivity in language processing with simple recurrent networks
An astronomical set of sentences can be produced in natural language by combining relatively simple sentence structures with a human-size lexicon. These sentences are within the ra...
Frank van der Velde, Gwendid T. van der Voort van ...
IAJIT
2010
117views more  IAJIT 2010»
14 years 8 months ago
Development of Neural Networks for Noise Reduction
: This paper describes the development of neural network models for noise reduction. The networks used to enhance the performance of modeling captured signals by reducing the effec...
Lubna Badri