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A Boltzmann Machine with Non-rejective Move

Hongbing ZHU, Ningping SUN, Mamoru SASAKI, Kei EGUCHI, Toru TABATA, Fuji REN

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Summary :

It have been one open and significant topic for real-time applications to enhance the processing-speed of Boltzmann machines for long time. One effective way of solution of this problem is the augmentation of probability of neurons' state move. In this paper, a novel method, called a rejectionless method, was proposed and introduced into the Boltzmann machines for this augmentation. This method has a feature of independence on the ratio of neurons' state move. The efficiency of this method for speed-up was confirmed with the experiments of TSP and graph problem.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E85-A No.6 pp.1229-1235
Publication Date
2002/06/01
Publicized
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Type of Manuscript
Special Section PAPER (Special Section on Papers Selected from 2001 International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2001))
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