KANB: A Family of Parametric Activation Functions With Trainable Parameters

In this paper, a new family of four-parameter activation functions, referred to as KANB, is introduced to improve the performance of artificial neural networks (ANNs). The activation functions have been designed and tested under various problem settings –covering various ANN architectures, lo...

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Bibliografske podrobnosti

Principais autores:	George Kanakoudis, Petros Mandalis, Nikolaos Pelekis
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2025-01-01
Serija:	IEEE Access
Teme:	Adaptive activation function trainable parameters trainable activation function deep learning
Online dostop:	https://ieeexplore.ieee.org/document/11129700/
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