| 摘要 |
A neural pattern matcher is made up of an array of first sum and threshold SAT1 devices 18 each of which receives a number of inputs and a threshold value, and fires a 1 output if the number of inputs exceeds the threshold value. The outputs of the array of the SAT1 devices may be considered as a 2D image or generic template against which new data supplied into the registers 26 making up a data plane 24 are correlated at a correlation plane 20 of EX-NOR gates 22. The outputs of the EX-NOR gates themselves may be summed and thresholded by a seconded sum and threshold device 28 to provide a neural output '1' or '0' indicating match or no match. The matcher may therefore behave as a neural auto-associative memory which continually adapts to the input data to recognize data of a particular specified class.
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