Kohonen Learning

Kohonen learning, also known as Self-Organizing Maps (SOM), is a method used by computers to recognize patterns and organize information. It works by mapping complex data—like images or sounds—onto a simple, visual grid. The system starts with random arrangements and then adjusts itself by comparing new data to what it already "knows," gradually improving its organization. Over time, similar data points are grouped close together on the map, making it easier to identify categories or relationships within the data. This learning process helps computers analyze and visualize complex information efficiently.