Distributing SOM ensemble training using grid middleware
Vrusias, BL, Vomvoridis, L and Gillam, L (2007) Distributing SOM ensemble training using grid middleware IEEE International Joint Conference on Neural Networks (IJCNN 2007) . 2712 - 2717. ISSN 1098-7576
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Official URL: http://dx.doi.org/10.1109/IJCNN.2007.4371387
In this paper we explore the distribution of training of self-organised maps (SOM) on Grid middleware. We propose a two-level architecture and discuss an experimental methodology comprising ensembles of SOMs distributed over a Grid with periodic averaging of weights. The purpose of the experiments is to begin to systematically assess the potential for reducing the overall time taken for training by a distributed training regime against the impact on precision. Several issues are considered: (i) the optimum number of ensembles; (ii) the impact of different types of training data; and (iii) the appropriate period of averaging. The proposed architecture has been evaluated in a Grid environment, with clock-time performance recorded.
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|Divisions:||Faculty of Engineering and Physical Sciences > Computing Science|
|Deposited By:||Melanie Hughes|
|Deposited On:||16 Nov 2012 10:10|
|Last Modified:||16 Feb 2013 16:52|
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