Effect of changing hidden neurons and activation function on Back-Propagation (BP) Speed
Publication Date : 18/10/2015
Author(s) :
Volume/Issue :
Volume 2
,
Issue 10
(10 - 2015)
Abstract :
The Back-Propagation (BP) is the best known and widely used learning algorithm in training multiple neural network. A vast variety of improvements to BP algorithm have been proposed since ninety’s. in this paper, the effects of changing the number of hidden neurons and activation equation are investigated. According to the simulation results, the convergence speed have been improved and become much faster by the previous two modifications on the BP algorithm.
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