This study evaluates the endogenous drivers of economic growth in Kashkadarya region using statistical data from 2010–2025 through neuro-fuzzy (ANFIS) and multilayer perceptron (MLP) models. Household income, traditional and digital infrastructure were selected as key indicators. The ANFIS model achieved high accuracy (R² = 0.977; RMSE = 0.40; MAPE = 7.8%), effectively capturing nonlinear economic relationships. A 3D surface plot highlighted the strong synergy between digital infrastructure and income. In comparison, the MLP model yielded slightly lower accuracy. The results suggest that investing in digital infrastructure and applying endogenous modeling approaches are crucial for strategic planning
| Mualliflar | Mirzayev , Shokhrukh, Мирзаев , Шохрух, Mirzayev , Shoxrux |
|---|---|
| Jurnal | Илғор иқтисодиёт ва педагогик технологиялар |
| Nashriyot | Тошкент давлат иқтисодиёт университети ҳузуридаги «Ўзбекистон иқтисодиётини ривожлантиришнинг илмий асослари ва муаммолари» илмий-тадқиқот маркази |
| ISSN | 1994-2025 |
| Nashr sanasi | 2025-12-03 |
| Jild | 2 |
| Son | 6 |
| Betlar | 319-324 |
| Til | Ingliz |
| Ilmiy soha | Iqtisodiyot |
| DOI | 10.60078/3060-4842-2025-vol2-iss6-pp319-324 |
| Indeksga qo‘shilgan | 2026-08-26 |
DOI: 10.60078/3060-4842-2025-vol2-iss6-pp319-324 · Maqolaning asl sahifasi
ANFIS, MLP, regional economic growth, digital infrastructure, fuzzy logic, nonlinear modeling, ANFIS, MLP, региональный экономический рост, цифровая инфраструктура, доходы населения, нечеткая логика, ANFIS, MLP, mintaqaviy iqtisodiy o‘sish, raqamli infratuzilma, aholi daromadlari, fuzzy mantiq
| APA | Mirzayev , Shokhrukh, Мирзаев , Шохрух, & Mirzayev , Shoxrux (2025). IDENTIFYING THE ENDOGENEITY OF REGIONAL ECONOMIC GROWTH USING A NEURO-FUZZY APPROACH: METHODS AND MODELS. Илғор иқтисодиёт ва педагогик технологиялар, 2(6), 319-324. https://doi.org/10.60078/3060-4842-2025-vol2-iss6-pp319-324 |
|---|---|
| GOST (OAK) | Mirzayev , Shokhrukh, Мирзаев , Шохрух, Mirzayev , Shoxrux IDENTIFYING THE ENDOGENEITY OF REGIONAL ECONOMIC GROWTH USING A NEURO-FUZZY APPROACH: METHODS AND MODELS // Илғор иқтисодиёт ва педагогик технологиялар. – 2025. – T. 2, № 6. – P. 319-324. – DOI: 10.60078/3060-4842-2025-vol2-iss6-pp319-324. |
| MLA | Mirzayev , Shokhrukh, Мирзаев , Шохрух, and Mirzayev , Shoxrux. “IDENTIFYING THE ENDOGENEITY OF REGIONAL ECONOMIC GROWTH USING A NEURO-FUZZY APPROACH: METHODS AND MODELS.” Илғор иқтисодиёт ва педагогик технологиялар, 2(6), 319-324, 2025. https://doi.org/10.60078/3060-4842-2025-vol2-iss6-pp319-324 |
| Chicago | Mirzayev , Shokhrukh, Мирзаев , Шохрух, and Mirzayev , Shoxrux. “IDENTIFYING THE ENDOGENEITY OF REGIONAL ECONOMIC GROWTH USING A NEURO-FUZZY APPROACH: METHODS AND MODELS.” Илғор иқтисодиёт ва педагогик технологиялар, 2(6), 319-324 (2025). https://doi.org/10.60078/3060-4842-2025-vol2-iss6-pp319-324 |
| Harvard | Mirzayev , Shokhrukh, Мирзаев , Шохрух, and Mirzayev , Shoxrux (2025) ‘IDENTIFYING THE ENDOGENEITY OF REGIONAL ECONOMIC GROWTH USING A NEURO-FUZZY APPROACH: METHODS AND MODELS’, Илғор иқтисодиёт ва педагогик технологиялар, 2(6), 319-324. https://doi.org/10.60078/3060-4842-2025-vol2-iss6-pp319-324 |
| BibTeX | @article{mirzayevshokhrukh2025,
title = {IDENTIFYING THE ENDOGENEITY OF REGIONAL ECONOMIC GROWTH USING A NEURO-FUZZY APPROACH: METHODS AND MODELS},
author = {Mirzayev , Shokhrukh and Мирзаев , Шохрух and Mirzayev , Shoxrux},
journal = {Илғор иқтисодиёт ва педагогик технологиялар},
year = {2025},
volume = {2},
number = {6},
pages = {319-324},
doi = {10.60078/3060-4842-2025-vol2-iss6-pp319-324},
url = {https://doi.org/10.60078/3060-4842-2025-vol2-iss6-pp319-324}
} |
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