Abstract
We propose a new self-organizing neural model that considers a dynamic topology among neurons. This leads to greater plasticity with respect to the self-organizing neural network (SOFM). Theorems are presented and proved that ensure the stability of the network and its ability to represent the input distribution. Finally, simulation results are shown to demonstrate the performance of the model, with an application to colour image compression.
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López-Rubio, E., Muñoz-Pérez, J. & Antonio Gómez-Ruiz, J. Self-Organizing Dynamic Graphs. Neural Processing Letters 16, 93–109 (2002). https://doi.org/10.1023/A:1019999727252
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DOI: https://doi.org/10.1023/A:1019999727252