Parallel implementation of a learning algorithm for multilayer perceptrons using transputers
Antonio E Ruano, Jones, D. I., Peter John Fleming · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 1992
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.