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Mean field annealing

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Mean field annealing is a deterministic approximation to the simulated annealing technique of solving optimization problems.[1] This method uses mean field theory and is based on Peierls' inequality.

References

  1. ↑ Bilbro, G.L.; Snyder, W.E.; Garnier, S.J.; Gault, J.W. (Jan 1992). "Mean field annealing: a formalism for constructing GNC-like algorithms". IEEE Transactions on Neural Networks 3 (1): 131–138. doi:10.1109/72.105426. PMID 18276414. http://www.ece.ncsu.edu/imaging/Publications/1992/BilbroSnyderTNN.pdf. 




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