DHNN is a simple dhnnstructure with no hidden layer and 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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The main highlight of DHNN is the present of content associative memory (CAM) whereby it is used to store the pattern of the problem and it consists of interconnecteddhnn neurons with no hidden layer which act as the potential characteristics for solving optimization problems (Guo, et al., 2022).
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