Patent · US Expired

Neural network circuit

US5353383A · kind A · utility

9Cited by
5References
5Claims
0Family size

Assignee

Inventors

Key dates

Filing dateJul 7, 1992
Grant dateOct 4, 1994
Priority date
Expiry dateJul 7, 2012

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06F18/2453
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

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.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.