The Role of Parametrically Learnable Neural Transfer Functions in Artificial Intelligence

<div> The essay provides rationales that highlight the roles played by advanced and non-linear learnable parameterizations for penalized rectifications and learning enhancement in neural information systems. </div>

Authors

Abdourrahmane M. Atto (ORCID: https://orcid.org/0000-0003-1753-4917)

Publication Details

Journal: SPIRE - Sciences Po Institutional REpository
Published: 2025-01-01
DOI: https://doi.org/10.13140/rg.2.2.15933.78569
Primary Topic: Neural Networks and Applications
Type: article
Field-Weighted Citation Impact: 0.00

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article

The Role of Parametrically Learnable Neural Transfer Functions in Artificial Intelligence

Abdourrahmane M. Atto

Jan 1, 2025

SPIRE - Sciences Po Institutional REpository

Neural Networks and Applications

article

The Role of Parametrically Learnable Neural Transfer Functions in Artificial Intelligence

Abdourrahmane M. Atto

January 1, 2025article en

Abstract

SPIRE - Sciences Po Institutional REpository

Openalex Percentile: Top 85%

Neural Networks and Applications

DOI Open Access PDF OpenAlex

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The Role of Parametrically Learnable Neural Transfer Functions in Artificial Intelligence — Abdourrahmane M. Atto · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS