Neural network circuit

Details Neural network circuit Neural network circuit

1994-06-28

1995-11-14

Downs, Robert W.

Boots, shoes, and leggings

364807, 326 35, 327355, G06F 1518

Patent

active

054674298

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 valve. A threshold valve 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: 4897811 (1990-01-01), Scofield
patent: 5063601 (1991-11-01), Hayduk
patent: 5097141 (1992-03-01), Leivian et al.
patent: 5359700 (1994-10-01), Seligson
Hartstein et al., "A Self-Learning Threshold-Controlled Neural Network," IEEE Int'l. Conf. on Neural Networks, Jul. 1988, I-425-430.
Chen et al., "Orthogonal Least Squares Learning Algorithm for Radial Basis Function Networks," IEEE Trans. on Neural Networks, vol. 2(2), Mar. 1991, 302-309.

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