Weighted summation circuits having different-weight ranks of cap

Details Weighted summation circuits having different-weight ranks of cap Weighted summation circuits having different-weight ranks of cap

1990-05-21

1991-08-13

Hudspeth, David

Electrical transmission or interconnection systems

Nonlinear reactor systems

Parametrons

307246, 307464, 364807, G06F 1540

Patent

active

050398709

ABSTRACT:
The input signals to the weighted summation circuitry are weighted by respective weighting factors on a digit-sliced basis. Each of the weighting factors is expressed as a respective plurality of portions of different weighting significance, the portions being R in number. The portions of the weighting factors expressed as digits that have the same weighting significance constitute a rank of values. These ranks of values are normalized by dividing each of them by its respective weighting significance. R ranks of capacitors are connected in R respective networks that sum the input signals, as weighted respectively by each of the ranks of normalized values, to get normalized respective partial summation results. To generate a final weighted summation result, means are provided to sum the respective partial summation results provided from the R respective networks, after the respective partial summation results have been weighted by their corresponding weighting significances to remove normalization. Where the weighted summation circuitry is used in a neural net layer, this final weighted summation result is supplied to a non-linear amplifier with sigmoidal transfer characteristic to obtain an axonal response to the synaptic input signals after their weighted summation.

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"An Introduction to Computing with Neural Nets", R. P. Lippmann, IEEE ASSP Magazine, Apr. 1987, pp. 4-22.
"Switched-Capacitor Neural Networks", Y. P. Tsividis and D. Anastassio, Electronics Letters, Aug. 27, 1987, vol. 23, No. 18.

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