Introduction - If you have any usage issues, please Google them yourself
The concept and principle of self-organizing neural network are introduced, and the self organizing feature mapping SOM network is introduced. SOM and the now popular ANN (MLP) model is similar in structure, the neuron structure very simple, but SOM is a kind of "unsupervised learning" model, the general is the use of input data with high dimension in the low dimensional space for [1], so SOM is a kind of natural dimensionality reduction method. In addition to dimensionality reduction, SOM can also be used in data visualization, clustering and other applications.