Analytical comparison of the Temporal Kohonen Map and the Recurrent Self Organizing Map

The basic SOM is indi erent to the ordering of the input patterns. Real data, however, is often sequential in nature thus context of a pattern may signi cantly in uence its correct interpretation. One simple SOM model that takes the context of a pattern into account is the Temporal K ohonen Map (TKM),which was modi ed into the Recurrent Self Organizing Map (RSOM). We sho w analytically and with experiments that the RSOM is a signi cant improvement over the TKM because the RSOM model allows simple derivation of a consistent update rule.