Learning system for a neural net of a suitable architecture, phy

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395 22, 395 24, G06F 1546

Patent

active

052747433

ABSTRACT:
The subject of the invention is a learning system for a neural net physically insertable in the learning process, which comprises a detecting member for presenting to said neural net the basic information set that said neural net has to learn in order to provide a desired response; a microprocessor suitable to iteratively execute a learning algorithm based on a comparison among said basic information set itself, the response that the neural net provides and the response that one wants to obtain from the neural net (see FIG. 1).

REFERENCES:
patent: 4866645 (1989-09-01), Lish
patent: 5021988 (1991-06-01), Mashiko
patent: 5039871 (1991-08-01), Engeler
patent: 5040215 (1991-08-01), Amano et al.
patent: 5140531 (1992-08-01), Engeler
patent: 5146542 (1992-09-01), Engeler
patent: 5150450 (1992-09-01), Swenson et al.
patent: 5155802 (1992-10-01), Mueller et al.

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