GPU Implementation of the Multiple Back-Propagation Algorithm-Reference-Cited by-同舟云学术

GPU Implementation of the Multiple Back-Propagation Algorithm

Published:2009 Issue: Volume: Page:449-456
ISSN:0302-9743
Container-title:Intelligent Data Engineering and Automated Learning - IDEAL 2009
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Author:

Lopes Noel,Ribeiro Bernardete

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-04394-9_55

Reference10 articles.

1. Brandstetter, A., Artusi, A.: Radial basis function networks GPU based implementation. IEEE Transactions on Neural Networks 19(12), 2150–2154 (2008)

2. Che, S., Boyer, M., Meng, J., Tarjan, D., Sheaffer, J.W., Skadron, K.: A performance study of general-purpose applications on graphics processors using CUDA. Journal of Parallel and Distributed Computing 68(10), 1370–1380 (2008)

3. Catanzaro, B., Sundaram, N., Keutzer, K.: Fast support vector machine training and classification on graphics processors. In: Proc. of the 25th International Conference on Machine Learning (ICML 2008), Helsinki, Finland, pp. 104–111 (2008)

4. Steinkrau, D., Simard, P.Y., Buck, I.: Using GPUs for machine learning algorithms. In: ICDAR 2005: Proc. of the Eighth International Conference on Doc. Analysis and Recognition, Washington, DC, USA, pp. 1115–1119. IEEE Comp. Society, Los Alamitos (2005)

5. Jang, H., Park, A., Jung, K.: Neural network implementation using CUDA and OpenMP. In: DICTA 2008: Proc. of the 2008 Digital Image Computing: Techniques and Applications, Washington, DC, USA, pp. 155–161. IEEE Comp. Society, Los Alamitos (2008)

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