Social Interaction and Self-Organizing Maps
Ryotaro Kamimura · InTech eBooks · 2012
In this chapter, we consider neuron societies where there are many different types of interactions. In one society, a neuron is connected with others only by the distance between two neurons. In another one, a neuron is connected with others by similarity between neurons, and so on. We here choose a special case where the interaction between neurons is weighted by the distance between them. This simplification aims to apply the new method to the creation of self-organizing maps. With this research, we expect new types of self-organizing maps to appear, ones which take into account the interactions between neurons.