IMPROVING MATHEMATICAL AND SOFTWARE APPROACHES AND  PRINCIPLES OF MODERN APPRAISAL SERVICES

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6 Oktabr 2024

Main language:Uzbek

IMPROVING MATHEMATICAL AND SOFTWARE APPROACHES AND PRINCIPLES OF MODERN APPRAISAL SERVICES

Field of Science:

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ARTICLE ANNOTATION

In this article, the emergence and development of the assessment of the value of the main funds, the involvement of the main funds and the rights to them in the civil-legal circulation by all participants of the market reforms, and the establishment of market mechanisms of economic management are studied. Also, the conditions for applying the methods of mathematical modeling of valuation works, the mechanism of the interactive process of mathematical and software provision of asset valuation, and suggestions and recommendations based on them are given

AUTHORS

O.Rixsimbayev

Тошкент Давлат Иқтисодиёт Университети

Tags

# основные фонды# software# дастурий таъминот# программное обеспечение# basic funds# асосий фондлар# математик таъминот# горизонтал математик ва дастурий# вертикал математик ва дастурий# базавий баҳо# тузатиш баҳоси.# математическое обеспечение# горизонтальное математическое и# вертикальное математическое и пр# базовая оценка# коррекционная оценка.# Mathematical Supply# Horizontal Mathematical and Sof# Vertical Mathematical and Softwa# Basic Assessment# Correction Assessment.

Article Identifiers

ROI:

https://eroi.uz/11.0183/A1024-0049

DOI:

Not Available

References

Samuel Björklund, Tobias Uhlin (2017) Artificial neural networks for financial time series prediction and portfolio optimization. ISRN: LIU-IEI-TEK-A-17/02920—SE, -173 рю;

Samuelson Paul A. (1997) Risk and Uncertainty:A Fallacy of Large Numbers. Scientia

Батыршин И.З. (2007) Нечеткие гибридные системы. Теория и практика / Под ред. Н.Г. Ярушкиной. – М. Физматлит, – 208 с.;

Зайченко Ю.П. (2008) Нечеткие модели и методи в интеллектуальных системах. – К.:Видавничий Дим «Слово», – 352 с.

Howard B Demuth, Mark H Beale (2014) Neural Network Design (2nd Edition), –800 р.;

Kohonen, T. (1988) Learning vector quantization. Neural Networks 1, suppl. 1, 303.;