MULTILAYER ARTIFICIAL NEURAL NETWORKS: STRUCTURE AND APPLICATION
DOI:
https://doi.org/10.5281/zenodo.17980261Abstract
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.
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