Reconfigurable neural network and difference-square neuron

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395 24, G06F 1518

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active

057519137

ABSTRACT:
A reconfigurable neural network includes several switches each having at least two conductive leads, data flow direction of the conductive leads is programmed to select one of the conductive leads as input switch lead and select another one of the conductive leads as an output switch lead. Several processing elements each having leads connected to the switches, where the processing elements and the switches are interconnected in one-dimension manner. The neural network of interconnected switches and processing elements has a bit-serial input and a bit-serial output. Each of the processing elements comprising: (a) a serial-in-parallel-out difference-square accumulator having a first input coupled to one of the interconnected switches and generating a first output; (b) an activation function for transforming the first output of the serial-in-parallel-out difference-square accumulator and generating a second output; and (c) a parallel-in-serial-out shift register for shifting out the second output of the activation function serially to one of the interconnected switches.

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