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An Accelerating Method of Training Neural Networks Based on Vector Epsilon Algorithm

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3 Author(s)
Jianliang Li ; Sch. of Sci., Nanjing Univ. of Sci. & Technol., Nanjing, China ; Lian Lian ; Jiang, Yong

This paper studied the accelerating convergence of the vector sequences generated by BP algorithm with vector epsilon algorithm, and presented the conclusion that the algorithms is not only convergent but also accelerated. Finally, we tested them for three classical artificial neural network problems. By numerical experiments, results shown that can reduce CPU time for computation and improve the learning efficiency.

Published in:

Information and Computing (ICIC), 2010 Third International Conference on  (Volume:4 )

Date of Conference:

4-6 June 2010