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
Available under License : See the attached licence file.
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.
|Divisions :||Faculty of Engineering and Physical Sciences > Computing Science|
|Additional Information :||
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|Depositing User :||Melanie Hughes|
|Date Deposited :||16 Nov 2012 10:10|
|Last Modified :||09 Jun 2014 13:25|
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