Year: 2025
Type: article
Abstract: In this article typical neural network architectures are classified and key historical stages in their development are examined. Fundamental functional properties of neural architectures are identified and method for multi-criteria evaluation of their potential effectiveness is presented. Several approaches to system engineering of neural networks are also proposed. It is shown that, along with well-established principles of multilayering, hierarchy and recurrence, new issues are becoming increasingly important such as modularity, structural adaptability, and computational efficiency of neural networks.
Authors: Diane, Sekou, Voronkov, Andrey, Akimov, Dmitry, Guryanova, Ekaterina
Institution: MIREA - Russian Technological University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7084954865
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