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
|PDF - Published Version|
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb...
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 > Electronic Engineering > Centre for Communication Systems Research|
|Deposited By:||Melanie Hughes|
|Deposited On:||23 Sep 2010 12:21|
|Last Modified:||24 Jan 2013 09:08|
Repository Staff Only: item control page