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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), pp. 449-454.

Record type: Article


We combine Mean Field Annealing (MFA) [7] 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 [5], MFA at a constant temperature[7] and a stochastic weight penalty technique, known as GENET, proposed by Tsang & Wang (1992) [8].

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Published date: November 1995
Additional Information: Special issue on Neural Networks for Optimization
Organisations: Electronics & Computer Science


Local EPrints ID: 259805
PURE UUID: b4e936c5-79ea-4bb0-b528-24dff1cac626

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Date deposited: 23 Aug 2004
Last modified: 18 Jul 2017 09:19

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Author: P. Burge
Author: J. Shawe-Taylor

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