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Parallel implementation of a learning algorithm for multilayer perceptrons using transputers

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In this paper the parallelization of a new learning algorithm for multilayer perceptrons, specifically targeted for nonlinear function approximation purposes, is discussed. Each major step of the algorithm is parallelized, a special emphasis being put in the most computationally intensive task, a least-squares solution of linear systems of equations.

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Ruano, A. E.; Jones, D. I; Fleming, P. J. Parallel Implementation of a Learning Algorithm for Multilayer Perceptrons using Transputers, Trabalho apresentado em Parallel Computing and Transputer Applications, In Parallel Computing and Transputer Applications, Barcelona, 1992.

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