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Speed up the back-propagation learning algorithm by the broadcast communication model

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2 Author(s)
Tzung-Pei Hong ; Dept. of Inf. Manage., Kaohsiung Polytech. Inst., Taiwan ; Jyh-Jong Lee

We distribute training instances over a single-channel broadcast communication model to speed up execution of the back-propagation learning algorithm. We first propose a modified back-propagation learning algorithm that does not change the weight matrix when a training instance is correctly classified by the current weight matrix. This modified back-propagation learning algorithm is then parallelized using the single-channel broadcast communication model for execution on a bounded number of processors, with its speed-up rate being nearly linear

Published in:

Neural Networks, 1996., IEEE International Conference on  (Volume:2 )

Date of Conference:

3-6 Jun 1996