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The dual neural network (DNN)-based $k$ -winner-take-all ($k$ WTA) model is an effective approach for finding the $k$ largest inputs from $n$ inputs. Its major assumption is that the threshold logic units (TLUs) can be implemented in a perfect way. However, when differential bipolar pairs are used for implementing TLUs, the transfer function of TLUs is a logistic function. This brief studies...
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