A framework for grid-based neural networks

@inproceedings{Vin2005, abstract = {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 been 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 are solved. This paper proposes a framework in which an ensemble of neural networks is implemented over a grid-based environment.}, author = {Vin, Tan K. and Pang and Kuan, Ng P. and Haron, F. }, booktitle = {Distributed Frameworks for Multimedia Applications, 2005. DFMA '05. First International Conference on}, citeulike-article-id = {2994290}, doi = {10.1109/DFMA.2005.5}, journal = {Distributed Frameworks for Multimedia Applications, 2005. DFMA '05. First International Conference on}, pages = {246--253}, posted-at = {2008-07-12 00:58:28}, priority = {2}, title = {A framework for grid-based neural networks}, url = {http://dx.doi.org/10.1109/DFMA.2005.5}, year = {2005} }

TY - CONF ID - Vin2005 L3 - citeulike-article-id:2994290 TI - A framework for grid-based neural networks T2 - Distributed Frameworks for Multimedia Applications, 2005. DFMA '05. First International Conference on JF - Distributed Frameworks for Multimedia Applications, 2005. DFMA '05. First International Conference on SP - 246 EP - 253 N2 - 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 been 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 are solved. This paper proposes a framework in which an ensemble of neural networks is implemented over a grid-based environment. AU - Vin, Tan AU - Pang AU - Kuan, Ng AU - Haron, F PY - 2005/// UR - http://dx.doi.org/10.1109/DFMA.2005.5 ER -