Lernmatrix

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.{{Cite journal| last= Steinbuch | first= Karl | title= Die Lernmatrix | journal= Kybernetik, 1(1):36-45 | date = 1961}}

This model for learning systems could establish complex associations between certain sets of characteristics (e.g., letters of an alphabet) and their meanings.

Function

The Lernmatrix generally consists of n "characteristic lines" and m "meaning lines," where each characteristic line is connected to each meaning line, similar to how neurons in the brain are connected by synapses. (This can be realized in various ways – according to Steinbuch, this could be done by hardware or software).

To train a Lernmatrix, values are specified on the corresponding characteristic and meaning lines (binary or real); then the connections between all pairs of characteristic and meaning lines are strengthened by the Hebb rule. A trained Lernmatrix, when given a specific input on the characteristic lines, activates the corresponding meaning lines. In modern language, it is a linear projection module.

By appropriately interconnecting several Lernmatrices, a switching system can be built that, after completing certain training phases, is ultimately able to automatically determine the most probable associated meaning for an input sequence of features.[http://edoc.hu-berlin.de/e_rzm/15/biener-klaus-1997-12-01/PDF/17.pdf Karl Steinbuch – Informatiker der ersten Stunde] at edoc.hu-berlin.de, accessed on March 1, 2015.

See also

Further reading

  • Karl Steinbuch: Automat und Mensch. 1st ed. Springer 1961. {{in lang|de}}

References

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Category:Artificial neural networks

Category:Neuroinformatics

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