Highly parallel computation network employing a...

G - Physics – 06 – G

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328/113, 354/137

G06G 7/60 (2006.01) G06N 3/063 (2006.01)

Patent

CA 1258132

A HIGHLY PARALLEL COMPUTATION NETWORK EMPLOYING A BINARY-VALUED T MATRIX AND SINGLE OUTPUT AMPLIFIERS Abstract Advantageous neural network realizations are achieved by employing only negative gain amplifiers and a clipped T matrix having conductances Tij which have only two values. Preferably, one of these values is a preselected value set by the value of a fixed resistor, and the other value is zero, created simply with an open circuit. Values for the Tij terms of the clipped T matrix are obtained through an iterative process which operates on the clipped and nonclipped matrices and minimizes the error resulting from the use of the clipped T matrix.

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