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Analysis of the Mean Field Annealing Algorithm for Graph Colouring

Analysis of the Mean Field Annealing Algorithm for Graph Colouring
Analysis of the Mean Field Annealing Algorithm for Graph Colouring
We introduce the Multi State Bitstream Neuron. By replacing the stochastic activation function with stochastic weights the MSBSN is shown to approximate a Generalised Boltzmann Machine. Benchmarks show the algorithm performs as well as the Boltzmann algorithm whilst the MSBSN lends itself to a very compact and fast hardware implementation.
Shawe-Taylor, John
b1931d97-fdd0-4bc1-89bc-ec01648e928b
Zerovnik, Janez v
aa969d58-9af1-4dff-9910-92d99a326709
Shawe-Taylor, John
b1931d97-fdd0-4bc1-89bc-ec01648e928b
Zerovnik, Janez v
aa969d58-9af1-4dff-9910-92d99a326709

Shawe-Taylor, John and Zerovnik, Janez v (1993) Analysis of the Mean Field Annealing Algorithm for Graph Colouring

Record type: Monograph (Project Report)

Abstract

We introduce the Multi State Bitstream Neuron. By replacing the stochastic activation function with stochastic weights the MSBSN is shown to approximate a Generalised Boltzmann Machine. Benchmarks show the algorithm performs as well as the Boltzmann algorithm whilst the MSBSN lends itself to a very compact and fast hardware implementation.

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Published date: 1993
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 259754
URI: http://eprints.soton.ac.uk/id/eprint/259754
PURE UUID: 4bb5d4b7-5ded-4794-a10a-662bd6752481

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Date deposited: 12 Aug 2004
Last modified: 14 Mar 2024 06:28

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Contributors

Author: John Shawe-Taylor
Author: Janez v Zerovnik

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