Some Learning Properties of Modular Network SOMs

Manabu TAKEDA, Kazushi IKEDA, Tetsuo FURUKAWA
2010 SICE Journal of Control Measurement and System Integration  
The Modular Network Self-Organizing Map (mnSOM) is a generalization of the SOM, where each node represents a parametric function such as a multi-layer perceptron or another SOM. Since given datasets are, in general, fewer than nodes, some nodes never win in competition and have to update their parameters from the winners in the neighborhood. This is a process that can be regarded as interpolation. This study derives the interpolation curve between winners in simple cases and discusses the
more » ... bution of winners based on the neighborhood function.
doi:10.9746/jcmsi.3.15 fatcat:wfcarzshjrgzfhflar5u7wktcq