Understanding the working mechanism of neural networks
Arif Hasanov and
Vugar Abdullayev
SAP Health and Policy, 2025
Abstract:
Neural networks are a foundational component of artificial intelligence and machine learning. This article explores the structure and functioning of neural networks, focusing on core concepts such as weight loss functions, activation functions, and backpropagation with gradient descent. The discussion includes an overview of the complete process of how neural networks operate, with detailed mathematical formulations, equations, and diagrams to aid comprehension.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://southam.pub/journals/files/shp/shp2025227en.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cwf:shpart:shp2025227
DOI: 10.56294/shp2025227
Access Statistics for this article
More articles in SAP Health and Policy from South American Publishing
Bibliographic data for series maintained by South American Publishing Journals Manager ().