Parallel Implementation of Back-Propagation Neural Network Software on SMP Computers

Author:

Tsaregorodtsev Victor G.

Publisher

Springer Berlin Heidelberg

Reference12 articles.

1. Beyon, T.: A parallel implementation of the back-propagation algorithm on a network of transputers. In: Proc. First IEEE Int. Neural Network Conf. (1987)

2. Murali, P., Wechsler, H., Manohar, M.: Fault-tolerance and learning performance of the back-propagation algorithm using massively parallel implementation. In: Proc. of Frontiers 1990, The Third Symposium on the Frontiers of Massively Parallel Processing. College Park, MD, USA, pp. 364–367 (1990)

3. Paugam-Moisy, H.: On parallel algorithm for backpropagation by partitioning the training set. In: Proc. Fifth Int. Conf. Neural Networks and Their Applications, Nimes, France, pp. 53–65 (1992)

4. Kumar, V., Shekhar, S., Amin, M.B.: A scalable parallel formulation of backpropagation algorithm for hypercubes and related architectures. IEEE Trans. on Parallel and Distributed Systems 5(10), 1073–1090 (1994)

5. Prechelt, L.: Data locality and load balancing for parallel neural network learning. In: Proc. Workshop on Compilers for Parallel Computers, Spain, pp. 111–127 (1995)

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