SANOAT KORXONALARINING INNOVATSION RIVOJLANISH DARAJASINI ANFIS ASOSIDA MODELLASHTIRISH
DOI:
https://doi.org/10.5281/zenodo.21972916Abstract
Maqolada moslashuvchan neyro-fuzzy inference tizimi (ANFIS) asosida sanoat korxonalarining
innovatsion rivojlanish darajasini modellashtirish masalasi ko‘rib chiqilgan. Takagi-Sugeno turidagi qoidalar
bazasi va gibrid o‘qitish algoritmi (eng kichik kvadratlar va orqaga tarqalish usullari kombinatsiyasi) qo‘llanilgan
holda model qurilgan va Qashqadaryo viloyati sanoat korxonalari ma’lumotlarida sinovdan o‘tkazilgan.
Keywords
ANFIS, Takagi-Sugeno modeli, innovatsion rivojlanish, gibrid algoritm, sanoat korxonalariReferences
1. Jang J.-S.R., Sun C.-T., Mizutani E. Neuro-Fuzzy and Soft Computing. — New Jersey: Prentice Hall,
1997. — 614 p.
2. Takagi T., Sugeno M. Fuzzy identification of systems and its applications to modeling and control // IEEE
Transactions on Systems, Man, and Cybernetics. — 1985. — Vol. 15. — P. 116–132
3. Jo‘rayev F.D., Mirzayev Sh.N. ADALINE tarmoqlarining ekonometrik modellashtirishda qo‘llanilishi //
Iqtisodiyot va innovatsion texnologiyalar jurnali. — 2024. — №2.
4. Mamdani E.H., Assilian S. An experiment in linguistic synthesis with a fuzzy logic controller // International
Journal of Man-Machine Studies. — 1975. — Vol. 7. — P. 1–13.
5. Qashqadaryo viloyati statistika boshqarmasi ma’lumotlari, 2019–2025 yy.
6. Efendiyev V.A. Soft computing methods in economic forecasting // Journal of Economic Modeling. —
2023. — No. 2. — P. 33–47.
7. Bezdek J.C. Pattern Recognition with Fuzzy Objective Function Algorithms. — Plenum Press, 1981. —
256 p.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 GREEN ECONOMY AND DEVELOPMENT

This work is licensed under a Creative Commons Attribution 4.0 International License.


