A neural circuit for the maximum 2-satisfiability problem

In this paper we discuss a uniform family of circuits, realizing neural networks to solve approximately the maximum 2-satisfiability problem. An implementation on FPGA for the problem instances of 16 variables and 480 clauses is presented. The circuit shows a good performance solving problem instances in 20 /spl mu/s with relative error less than 0.003.<
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