METHODOLOGICAL AND METHODOLOGICAL FOUNDATIONS OF THE CREATION OF MULTIMODULAR INTELLIGENT SYSTEMS BASED ON THE REGULARIZING BAYESIAN APPROACH

The article defines and discusses one of the main trends in the development of information systems, which consists in the integration of various functional modules into a single system. The relevance of this direction is shown. Methodological and metrological requirements for the integration of modular systems are formulated. The methodology of the regularizing approach for the creation of developing integrated systems based on a multimodular architecture is proposed.

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Publication Details

Journal
SOFT MEASUREMENTS AND COMPUTING
Published
2025-01-01
DOI
https://doi.org/10.36871/2618-9976.2025.05.002
Primary Topic
Engineering Technology and Methodologies
Type
article
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article

METHODOLOGICAL AND METHODOLOGICAL FOUNDATIONS OF THE CREATION OF MULTIMODULAR INTELLIGENT SYSTEMS BASED ON THE REGULARIZING BAYESIAN APPROACH

Svetlana V. Prokopchina
SOFT MEASUREMENTS AND COMPUTING
Engineering Technology and Methodologies
article

METHODOLOGICAL AND METHODOLOGICAL FOUNDATIONS OF THE CREATION OF MULTIMODULAR INTELLIGENT SYSTEMS BASED ON THE REGULARIZING BAYESIAN APPROACH

Svetlana V. Prokopchina
article en

Abstract

The article defines and discusses one of the main trends in the development of information systems, which consists in the integration of various functional modules into a single system. The relevance of this direction is shown. Methodological and metrological requirements for the integration of modular systems are formulated. The methodology of the regularizing approach for the creation of developing integrated systems based on a multimodular architecture is proposed.

SOFT MEASUREMENTS AND COMPUTINGVol. 5(90)
Industry, innovation and infrastructure
Openalex Percentile: Top 80%
Engineering Technology and Methodologies
DOISourceOpenAlex
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METHODOLOGICAL AND METHODOLOGICAL FOUNDATIONS OF THE CREATION OF MULTIMODULAR INTELLIGENT SYSTEMS BASED ON THE REGULARIZING BAYESIAN APPROACH — Svetlana V. Prokopchina · SOFT MEASUREMENTS AND COMPUTING (2025) | TGRS Research Map | TGRS