Semiconductor device and learning method thereof

Details Semiconductor device and learning method thereof Semiconductor device and learning method thereof

2005-01-18

2005-01-18

Loke, Steven (Department: 2811)

Active solid-state devices (e.g., transistors, solid-state diode

Field effect device

Having insulated electrode

C257S296000, C706S033000, C706S038000, C706S039000

Reexamination Certificate

active

06844582

ABSTRACT:
A learning method of a semiconductor device of the present invention comprises a neuro device having a multiplier as a synapse in which a weight varies according to an input weight voltage, and functioning as a neural network system that processes analog data, comprising a step A of inputting predetermined input data to the neuro device and calculating an error between a target value of an output of the neuro device with respect to the input data and an actual output, a step B of calculating variation amount in the error by varying a weight of the multiplier thereafter, and a step C of varying the weight of the multiplier based on the variation amount in the error, wherein in the steps B and C, after inputting a reset voltage for setting the weight to a substantially constant value to the multiplier as the weight voltage, the weight is varied by inputting the weight voltage corresponding to the weight to be varied.

REFERENCES:
patent: 3-122756 (1991-05-01), None
patent: 3-226884 (1991-10-01), None
patent: 5-335506 (1993-12-01), None

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