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Hybrid ·Peer-reviewed·ISSN (Online): 2169-012X·ISSN (Print): 0972-0502

Monthly Journal: Publishes the methodological and theoretical role of mathematics and mathematical applications underpinning scientific research.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
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Open Access Research Article

Enhancing Lp approximation via dual hidden layers in neural networks

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pp. 635–641Vol. 27Issue 4June 2024DOI: 10.47974/JIM-1734XML
Received:
18 Oct 2023
Published Online:
31 May 2024
Article type:
Research Article
Language:
EN
Article no.:
JIM-1734
Pages:
635–641

Abstract

Many researchers work on the approximation by the one hidden layer neural network. However, little work is done on multilayer neural network approximation. Here, we approximate multilayer neural networks by 2-hidden layers with sigmoid function output. That is what we shall introduce in our work.

Keywords

Subject Classifications

92B2090B18

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