A neural circuit for the maximum 2-satisfiability problem

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 instanc...

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Bibliographische Detailangaben
Hauptverfasser: Alberti, M.A., Bertoni, A., Campadelli, P., Grossi, G., Posenato, R.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Approximation algorithms
Circuits
Expert systems
Field programmable gate arrays
Hopfield neural networks
Neural networks
Polynomials
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Beschreibung
Zusammenfassung: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.< >
DOI:10.1109/EMPDP.1995.389192