A Parallel Implementation of the Back-Propagation of Errors Learning Algorithm on a SIMD Parallel Computer
Conference paper
Abstract
Training algorithms for artificial neural networks tend to he very time-consuming. It is therefore obvious to capitalise on the intrinsic parallelism of these systems in order to speed up the computations. This contribution describes the implementation of the back-propagation of errors learning algorithm on a SIMD parallel computer.
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References
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© Springer-Verlag London Limited 1993