Occasionally, a neural network converging toward a global optimal solution will get trapped in a local optimum and in such a situation {HEAD ~ the present invention} can be augmented by {TAIL ~ a step} which forces the network out of a local minimum 
Occasionally , a neural network converging toward a global optimal solution will get trapped in a local optimum and in such a situation { HEAD ~ the present invention } can be augmented by { TAIL ~ a step } which forces the network out of a local minimum
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