The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Salah satu sebab penumpuan perlahan dalam pembelajaran Rambatan Balik ialah nilai derivatif yang semakin berkurangan bagi fungsi pengaktifan yang biasa digunakan apabila nod menghampiri nilai ekstrem, iaitu, 0 atau
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Salinan
Joarder KAMRUZZAMAN, "Arctangent Activation Function to Accelerate Backpropagation Learning" in IEICE TRANSACTIONS on Fundamentals,
vol. E85-A, no. 10, pp. 2373-2376, October 2002, doi: .
Abstract: One of the reasons of slow convergence in Backpropagation learning is the diminishing value of the derivative of the commonly used activation functions as the nodes approach extreme values, namely, 0 or
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e85-a_10_2373/_p
Salinan
@ARTICLE{e85-a_10_2373,
author={Joarder KAMRUZZAMAN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Arctangent Activation Function to Accelerate Backpropagation Learning},
year={2002},
volume={E85-A},
number={10},
pages={2373-2376},
abstract={One of the reasons of slow convergence in Backpropagation learning is the diminishing value of the derivative of the commonly used activation functions as the nodes approach extreme values, namely, 0 or
keywords={},
doi={},
ISSN={},
month={October},}
Salinan
TY - JOUR
TI - Arctangent Activation Function to Accelerate Backpropagation Learning
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2373
EP - 2376
AU - Joarder KAMRUZZAMAN
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E85-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2002
AB - One of the reasons of slow convergence in Backpropagation learning is the diminishing value of the derivative of the commonly used activation functions as the nodes approach extreme values, namely, 0 or
ER -