Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Neural Networks
Temporal Kohonen Map and the Recurrent Self-Organizing Map: Analytical and Experimental Comparison
Neural Processing Letters
Long Term Forecasting by Combining Kohonen Algorithm and Standard Prevision
ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
Applying LSTM to Time Series Predictable through Time-Window Approaches
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
A Recurrent Self-Organizing Map for Temporal Sequence Processing
ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
Recursive self-organizing maps
Neural Networks - New developments in self-organizing maps
Learning Chaotic Attractors by Neural Networks
Neural Computation
Adaptive mixtures of local experts
Neural Computation
Neurocomputing
Language learnability by feedback self-organizing maps
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
IEEE Transactions on Information Theory
Identification and control of dynamical systems using the self-organizing map
IEEE Transactions on Neural Networks
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Local Models for regression have focused a great deal of attention in recent years. They have proved to be more efficient than global models and especially when dealing with chaotic time series. Many models have been proposed to cluster time series and they have been combined with several predictors. In this paper we present an extension for recurrent neural networks in allowing to apply them to local models and we discuss the obtained results.