THE PRACTICE OF USING THE MATHEMATICAL MODEL OF THE ARTIFICIAL NEURAL NETWORK IN THE CURRENT FORECASTING OF THE TAX BASE OF THE REPUBLIC
Keywords:
tax base, forecasting, artificial neural network, time series, tax administration, information system, expert systemAbstract
The article proposes a method that allows using the capabilities of neural networks to predict the tax base of the republic. This method is suitable for developing a positive short-term forecast. This forecast creates the possibility of making predictions in an intelligent mode, taking into account time series.
References
Isroilov M.I. Hisoblash metodlari. (Methods of calculation) 1-s. -Т.: Oʻqituvchi, 1988.
Bhargavi B. G. S, Devi Nallammai RM and Palani Thanaraj. K. Estimation of heart rate using signal fusion of ecg and bp signals. International journal of advanced research (IJAR).
Zaynidinov H.N., Kim Sung Soo, Avaz Mirzaev. Piecewise-Polynomial Bases For Digital Signal Processing. International Journal of Ubiquitous Computing and Internationalization, South Korea, Vol. 3., № 1, April 2011, P. 59-65.
Tom Lyche and Knut Mørken. Spline Methods Draft. Department of Informatics Centre of Mathematics for Applications University of Oslo. May 19, 2008.
Gagarin, A. G. Prognozirovanie urozhajnosti zernovyh na osnove nejrosetevyh tehnologij: ocenka vliyaniya nekotoryh sposobov predobrabotki vhodnyh dannyh [Tekst]/ A. G. Gagarin, I. E. Egorova // Aktual'nye napravleniya nauchnyh issledovanij v APK: ot teorii k praktike: materialy Nacional'noj nauchno-prakticheskoj konferencii, Volgograd, 10 noyabrya 2017 g. - Volgograd: FGBOU VO Volgogradskij GAU, 2017. - Ch. 2. - P. 162-168.
Rogachev, A. F. Postroenie nejrosetevyh modelej prognozirovaniya vremennyh ryadov urozhajnosti na osnove avtokorrelyacionnyh funkcij [Tekst]/ A. F. Rogachev, M. G. Shubnov // Sovremennye problemy nauki i obrazovaniya. - 2013. - № 5. - P. 450-457.
Chernij O. Nejronnye seti na Javascript [Jelektronnyj resurs] / O. Chernij. - 2016. - Rezhim dostupa: https://habrahabr.ru/post/304414/ (data obrascheniya: 25.10.2017).
Rogachev, A.F. Economic and Mathematical Modeling of Food Security Level in View of Import Substitution // Asian Social Science – 2015. – Vol. 11, No. 20/ – P. 178-185.
Rogachev, A.F. Manufacturing and Consumption of Agricultural Products as a Tool of Food Security Management in Russia / Rogachev, A.F., Shokhnekh, A.V., Mazaeva, T.I. // REVISTA GALEGA DE ECONOMÍA (RGE) – Vol. 25-2. July-December 2016.
Abduraimov, D., & Monasipova, R. (2024). AUTOMATING ECONOMIC ISSUES: THE EXAMPLE OF AUTOMATING WAREHOUSE PRODUCT STORAGE ACCOUNTING AND ITS SOFTWARE. DIGITAL TRANSFORMATION AND ARTIFICIAL INTELLIGENCE, 2(5), 12-17.
Abduraimov, D. E. (2024). UNVEILING THE STAGES AND PERSPECTIVES OF INTEGRATING ARTIFICIAL INTELLIGENCE SYSTEMS INTO THE EDUCATIONAL PROCESS. Экономика и социум, (4-1 (119)), 102-106.
Ziyadullaev, D., Mukhamedieva, D., Teshaboyev, M., Abdurakhimov, D., Bakhodirov, M., Ziyodullaeva, G., & Abduraimov, D. (2023). Application of the neuro-fuzzy approach to solving problems of soil phases evaluation. In BIO Web of Conferences (Vol. 67, p. 02009). EDP Sciences.
Абдураимов, Д. Э. Ў., Норматова, М. Н., & Монасипова, Р. Ф. (2021). ЛИБМАН ТИПИДАГИ ИТЕРАЦИН УСУЛНИ ЭЛАСТИКЛИК НАЗАРИЯСИ МАСАЛАСИГА ҚЎЛЛАШНИНГ МАТЕМАТИК МОДЕЛИ. Science and Education, 2(1), 15-20.
Kalandarov, A., Kalandarov, A., Abduraimov, D., & Anorbayev, M. (2024, November). Mathematical model of the coupled problem of thermoelasticity in stresses. In AIP Conference Proceedings (Vol. 3244, No. 1). AIP Publishing.
Abduraimov, D. E. (2024). UNVEILING THE STAGES AND PERSPECTIVES OF INTEGRATING ARTIFICIAL INTELLIGENCE SYSTEMS INTO THE EDUCATIONAL PROCESS. Экономика и социум, (4-1 (119)), 102-106.
http://www.AIPortal.ru – Artificial intelligence portal.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Normatova Malika Norqulovna
This work is licensed under a Creative Commons Attribution 4.0 International License.
