Adapting the Energy Landscape for MFA
Burge, P. and Shawe-Taylor, J. (1995) Adapting the Energy Landscape for MFA. Journal of Artificial Neural Networks, 2, (4), 449-454.
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) .
|Additional Information:||Special issue on Neural Networks for Optimization|
|Divisions:||Faculty of Physical Sciences and Engineering > Electronics and Computer Science
|Date Deposited:||23 Aug 2004|
|Last Modified:||27 Mar 2014 20:02|
|Publisher:||Ablex Publishing Company|
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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