A filter based neuron model for adaptive incremental learning of self-organizing maps

作者：Tucci Mauro^*; Raugi Marco

来源：Neurocomputing, 2011, 74(11): 1815-1822.

DOI：10.1016/j.neucom.2010.08.028

• Self-organizing maps
• Incremental learning
• Digital filters
• Time-varying environment

In this work a learning algorithm is proposed for the formation of topology preserving maps. In the proposed algorithm the weights are updated incrementally using a higher-order difference equation, which implements a low-pass digital filter. It is shown that by suitably choosing the filter the learning process can adaptively follow a specific dynamic. Numerical results, for time-varying and static distributions, show the potential of the proposed method for unsupervised learning.

• 出版日期2011-5