Neural network circuit

Details Neural network circuit Neural network circuit

1992-07-07

1994-10-04

MacDonald, Allen R.

Electrical transmission or interconnection systems

Nonlinear reactor systems

Parametrons

307201, 364807, G06F 1518

Patent

active

053533836

ABSTRACT:
A neural network circuit including a number n of weight coefficients (W1-Wn) corresponding to a number n of inputs, subtraction circuits for determining the difference between inputs and the weight coefficients in each input terminal, the result thereof being inputted into absolute value circuits, all calculation results of the absolute value circuits corresponding to the inputs and the weight coefficients being inputted into an addition circuit and accumulated, and this accumulation result determining the output value. A threshold value circuit determines the final output value, according to a step function pattern, a polygonal line pattern, or a sigmoid function pattern, depending on the object. In the case in which a neural network circuit is realized by means of digital circuits, the absolute value circuits can include simply EX-OR logic (exclusive OR) gates. Furthermore, in the case in which the input terminals have two input paths and two weight coefficients corresponding to each input path, the neuron circuits form a recognition area having a flexible shape which is controlled by the weight coefficients.

REFERENCES:
patent: 4926064 (1990-05-01), Tapang
patent: 4994982 (1991-02-01), Duranton
patent: 5004932 (1991-04-01), Nejime
patent: 5021693 (1991-06-01), Shima
patent: 5097141 (1992-02-01), Leivian

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