SOFT COMPUTING IN THE DEVELOPMENT OF REGIONAL ECONOMIES

The need for soft computing arises due to the limitations of traditional, classical computing methods in solving real-world problems. Soft computing is a branch of artificial intelligence that provides approximate solutions to complex problems that are difficult or impossible to solve using classical methods. There are many applications of soft computing concepts and techniques that can be used in various software development projects in research and industry. The purpose of soft computing is to use tolerance for inaccuracies, uncertainty, and approximate reasoning. It is an interdisciplinary field for the creation of a new generation of artificial intelligence, known as computational intelligence.

Authors

Publication Details

Journal
EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYA
Published
2025-01-01
DOI
https://doi.org/10.36871/ek.up.p.r.2025.04.09.010
Primary Topic
Regional Development and Policy
Type
article
Field-Weighted Citation Impact
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article

SOFT COMPUTING IN THE DEVELOPMENT OF REGIONAL ECONOMIES

Nikita A. Volnov
EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYA
Regional Development and Policy
article

SOFT COMPUTING IN THE DEVELOPMENT OF REGIONAL ECONOMIES

Nikita A. Volnov
article en

Abstract

The need for soft computing arises due to the limitations of traditional, classical computing methods in solving real-world problems. Soft computing is a branch of artificial intelligence that provides approximate solutions to complex problems that are difficult or impossible to solve using classical methods. There are many applications of soft computing concepts and techniques that can be used in various software development projects in research and industry. The purpose of soft computing is to use tolerance for inaccuracies, uncertainty, and approximate reasoning. It is an interdisciplinary field for the creation of a new generation of artificial intelligence, known as computational intelligence.

EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYAVol. 4/9(157)
Openalex Percentile: Top 86%
Regional Development and Policy
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