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
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DFMA.2005.5
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||