Summary
Hitherto it was assumed that the input signals to a learning matrix are digital, especially binary. In this paper the properties of learning matrices capable of learning and processing accordingly patterns of non-digital nature are investigated. It is shown that the recognition of patterns by means of such non-digital learning matrices offers extraordinary possibilities for the formation of invariants. For the description of the learning process a formal “perceptor” is defined, the properties of which are characteristic of both organic and technological perceptors. In addition, it is shown how the technological realization of non-digital learning matrices can be accomplished.
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Von Steinbuch, K., Frank, H. Nichtdigitale lernmatrizen als perzeptoren. Kybernetik 1, 117–124 (1961). https://doi.org/10.1007/BF00290182
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DOI: https://doi.org/10.1007/BF00290182