Title :
Speed up the back-propagation learning algorithm by the broadcast communication model
Author :
Hong, Tzung-Pei ; Lee, Jyh-Jong
Author_Institution :
Dept. of Inf. Manage., Kaohsiung Polytech. Inst., Taiwan
Abstract :
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
Keywords :
backpropagation; neural nets; back-propagation learning algorithm; backpropagation; classification; single-channel broadcast communication model; speed-up rate; weight matrix; Broadcasting; Electronic mail; Information management; Least squares methods; Machine learning; Management training; Neural networks; Parallel processing; Partitioning algorithms; Systolic arrays;
Conference_Titel :
Neural Networks, 1996., IEEE International Conference on
Print_ISBN :
0-7803-3210-5
DOI :
10.1109/ICNN.1996.549093
