Burge, P. and Shawe-Taylor, J.
Adapting the Energy Landscape for MFA
Journal of Artificial Neural Networks, 2, (4), .
We combine Mean Field Annealing (MFA)  with an anti-hebbian type adaptive weight penalty method forming an algorithm that performs well on standard benchmark optimization problems. We compare the hybrid algorithm with the Petford and Welsh algorithm , MFA at a constant temperature and a stochastic weight penalty technique, known as GENET, proposed by Tsang & Wang (1992) .
||Special issue on Neural Networks for Optimization
||Electronics & Computer Science
||23 Aug 2004
||17 Apr 2017 22:23
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