In this study, we investigate and implement a discrete Hopfield neural network (DHNN) using SFQ circuits. A DHNN is a binary neural network with less information than a standard full precision neural network; it also provides a higher processing speed.
DHNN™ exists to transform our surroundings and ourselves through design, empathy and a restless quest for quality.
DHNN is a simple structure with no hidden layer andhnnd binary input/output which leads to lower complexity compared to other networks. Satisfiability as a neuron representation is considered a suitable logical structure due to its simple construction.
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dhnn|An improved discrete Hopfield neural network for Max
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