Lernmatrix (German for "learning matrix") is a special type of artificial neural network (ANN) architecture, similar to associative memory, invented around 1960 by Karl Steinbuch, a pioneer in computer science and ANNs.[1]
This model for learning systems could establish complex associations between certain sets of characteristics (e.g., letters of an alphabet) and their meanings.