Gamma-filter self-organising neural networks for unsupervised sequence processing
P. A. Estévez, R. Hernández, Carlos A. Perez, Claes Held · Electronics Letters · 2011
Adding γ-filters to self-organising neural networks for unsupervised sequence processing is proposed. The proposed γ-context model is applied to self-organising maps and neural gas networks. The γ-context model is a generalisation that includes as a particular example the previously published merge-context model. The results show that the γ-context model outperforms the merge-context model in terms of temporal quantisation error and state-space representation.