The Effect Of Number Of Training Samples For Feed Forward Neural Network
Abstract
In this paper we study the effect of the number of training samples for feed forward
neural networks (FFNN) which is necessary for training process of feed forward neural
network. Also we design 5 FFNN's and train 41 FFNN's which illustrate how good the
training samples represent the actual function for FFNN.
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Published
2017-09-09
How to Cite
N. M. Tawfiq, L., & K. J. AL-Mosawi, A. (2017). The Effect Of Number Of Training Samples For Feed Forward Neural Network. Journal of Al-Qadisiyah for Computer Science and Mathematics, 2(2), 26–35. Retrieved from https://jqcsm.qu.edu.iq/index.php/journalcm/article/view/221
Issue
Section
Math Articles