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
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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
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@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},}
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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 -