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First International Conference on Distributed Frameworks for Multimedia Applications (DFMA'05)
A Framework for Grid-based Neural Networks
Besan?on, France
February 06-February 09
ISBN: 0-7695-2273-4
Tan Ker Vin, University Sains Malaysia, Penang, Malaysia
Michael Pang Zhe Seng, University Sains Malaysia, Penang, Malaysia
Ng Pek Kuan, University Sains Malaysia, Penang, Malaysia
Fazilah Haron, University Sains Malaysia, Penang, Malaysia
The usage of neural networks in critical systems is fast approaching the norm. In such systems, the issue of accuracy is of prime importance. Ensemble methods have commonly be used to increase accuracy but at the cost of training time and computational requirements. With the advent of grid computing, it is expected that these problems will be solved. This paper will propose a framework in which an ensemble of neural networks will be implemented over a grid-based environment.
Citation:
Tan Ker Vin, Michael Pang Zhe Seng, Ng Pek Kuan, Fazilah Haron, "A Framework for Grid-based Neural Networks," dfma, pp.246-253, First International Conference on Distributed Frameworks for Multimedia Applications (DFMA'05), 2005
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