Work

A simple and efficient architecture for trainable activation functions

Year: 2019

Type: article

Source: Neurocomputing

DOI: 10.1016/j.neucom.2019.08.065

Authors: Andrea Apicella, Francesco Isgrò, Roberto Prevete

Institution: University of Naples Federico II

Language: English

Topic: Neural Networks and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Ministero dell’Istruzione, dell’Università e della Ricerca

OpenAlex ID: W2920039561

FWCI: 2.163

Cites: 72

Cited by: 40

Related to: 10