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A principal components analysis self-organizing map

2003; Elsevier BV; Volume: 17; Issue: 2 Linguagem: Inglês

10.1016/j.neunet.2003.04.001

1879-2782

Ezequiel López‐Rubio, José Muñoz Pérez, José Antonio Gómez‐Ruiz,

Industrial Technology and Control Systems

We propose a new self-organizing neural model that performs principal components analysis. It is also related to the adaptive subspace self-organizing map (ASSOM) network, but its training equations are simpler. Experimental results are reported, which show that the new model has better performance than the ASSOM network.