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This paper introduces an efficient training algorithm for a dendrite morphological neural network (DMNN). Given p classes of patterns, C k , k=1, 2, …, p, the algorithm selects the patterns of all the classes and opens a hyper-cube HC n (with n dimensions) with a size such that all the class elements remain inside HC n . The size of HC n can be chosen such that the...
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