Abstract: An empirical justification of a neuron-adaptive activation function for feedforward neural networks has been proposed in this paper.
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An empirical justification of a neuron-adaptive activation function for feed-forward neural networks has been proposed in this paper.
An empirical justification of a neuron-adaptive activation function for feedforward neural networks has been proposed in this paper.
May 23, 2023 · Justification of a Neuron-Adaptive Activation Function ; Publication title. IJCNN Proceedings ; Editors. Professor Marco Gori ; Pagination. 456-470 ...
Sep 23, 2023 · This paper introduces the adaptive activation function replacement method for pre-trained artificial neural network models. The method enables ...
Jun 4, 2019 · The adaptive activation function has better learning capabilities than the traditional one (fixed activation) as it improves greatly the ...
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A novel morphing activation function is proposed, motivated by the wavelet theory and the use of wavelets as activation functions.
Sep 7, 2022 · In this paper, a comprehensive overview and survey is presented for AFs in neural networks for deep learning.
Jan 14, 2021 · The activation function introduces non-linearities to neural networks and is crucial for network performance [18]. Even though it might be ...
This paper introduces multiple activation functions per single neuron. Libraries have been generated to allow individual neurons within a neural network the ...