Method of increasing the accuracy of an analog circuit employing

Details Method of increasing the accuracy of an analog circuit employing Method of increasing the accuracy of an analog circuit employing

1992-04-09

1993-12-07

MacDonald, Allen R.

Fishing, trapping, and vermin destroying

395 23, H01L 21265, H01L 2176

Patent

active

052683206

ABSTRACT:
A method for increasing the accuracy of an analog neural network which computers a sum-of-products between an input vector and a stored weight pattern is described. In one embodiment of the present invention, the method comprises initially training the network by programming the synapses with a certain weight pattern. The training may be carried out using any standard learning algorithm. Preferably, a back-propagation learning algorithm is employed.
Next, the network is baked at an elevated temperature to effectuate a change in the weight pattern previously programmed during initial training. This change results from a charge redistribution which occurs within each of the synapses of the network. After baking, the network is then retrained to compensate for the change resulting from the charge redistribution. The baking and retraining steps may be successively repeated to increase the accuracy of the neural network to any desired level.

REFERENCES:
patent: 4490900 (1985-01-01), Chiu
patent: 5079177 (1992-01-01), Lage et al.
patent: 5104819 (1992-04-01), Freiberger et al.
patent: 5138573 (1992-08-01), Jeuch
Goser et al., "VLSI Tech. for Artificial Neural Networks", IEEE Micro 1989.

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