JOURNAL ARTICLE
MULTILAYER ARTIFICIAL NEURAL NETWORKS: STRUCTURE AND APPLICATION
Tojimamatov, IsrailUmirjonov, LazizbekSaidjonova, Fotimakhon
Year: 2025 Journal: Zenodo (CERN European Organization for Nuclear Research) Publisher: European Organization for Nuclear Research
Abstract
This article provides a comprehensive and systematic review of the theoretical foundations of multilayer artificial neural networks, their internal structure, operating principles, and areas of application in modern artificial intelligence systems. The functions of the input, hidden, and output layers of multilayer neural networks, the essence of the learning process, the capabilities of working with data, and their practical significance are analyzed. The role and prospects of these models in solving real-life problems are also shown.
Keywords:
Artificial neural network Feature (linguistics) Pattern recognition (psychology) Component (thermodynamics) Applications of artificial intelligence
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Topics
Aerospace, Electronics, Mathematical Modeling
Physical Sciences → Environmental Science → Nature and Landscape Conservation
Statistical and Computational Modeling
Physical Sciences → Computer Science → Artificial Intelligence
Advanced Computational Techniques in Science and Engineering
Physical Sciences → Computer Science → Information Systems
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