Fig. 4
From: Short-term water demand forecasting using hybrid supervised and unsupervised machine learning model
2-dimentional (2D) SOM structure with number of neurons (N) equal 3. This 2D network structure presents a brief introduction to the mechanism of the SOM. The inputs are fed to the map where initial weights are assigned. Then, by calculating the Euclidean Distance, the indices are arranged in clusters. The number of resulted clusters depends on the number of neurons selected when the map is structured. Each index is won by one neuron