IQTISODIYOTDA NEYRON TARMOQLARDAN FOYDALANISH
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neyron tarmoqlar, prognozlash, xavfni baholash, segmentatasiya qilish, prognozlash,marketing va tijorat.##common.commaListSeparator## neural networks, forecasting, risk assessment, segmentation, forecasting, marketing and commerce.Abstrak
Maqolada neyron tarmoq tushunchalari hamda tariflari bayon etilgan.Shuningdek Neyron tarmoqlaridan iqtisodiyotning barcha soha va tarmoqlarida foydalanish imkoniyatlari bayon etilgan.Bundan tashqari, Neyron tarmoq yordamida iqtisodiy masalalarni modellar tuzish orqali hal etish va aniqlik bilan prognozlar olish masalalari ko'rib chiqilgan.
The article describes the concepts and rates of neural networks. It also describes the possibilities of using neural networks in all areas and sectors of the economy. In addition, the problems of solving economic problems by creating models and obtaining accurate forecasts with the help of neural networks are considered.
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FOYDALANILGAN ADABIYOTLAR:
1. BIZNES IQTISODIY KO‘RSATKICHLARNI BOSHQARISH VA
BASHORATLASHDA NEYRON TARMOQLARINING O‘RNI. Bahrom Yangiboyevich Ishmetov Muhammad al-Xorazmiy nomidagi TATU Urganch filiali Axborot texnologiyalari kafedrasi assistenti
2. Improving the quality of training of high qualified personnel on the basis of competence level assessment.M.D.Zaripova. Journal of Management Value & Ethics. Jan.-March. 21 Vol. 11 No. 01 SJIF 7 …
3. Lilin Cheng, Haixiang Zang, Anupam Trivedi, Dipti Srinivasan, Zhinong Wei,Guoqiang Sun. Mitigating the Impact of Photovoltaic Power Ramps on Intraday Economic Dispatch Using Reinforcement Forecasting. IEEE Transactions on Sustainable Energy, 2024, 15(1), pp. 3–12.
4. Qi Zhao. Research on prediction of enterprise economic growth based on monetary policy regulation. 2020 International Conference on Robots & Intelligent System (ICRIS), IEEE, Sanya, China. 2020, pp. 1–1
5. Juan Li, ShuFeng Cong. Prediction of financial economic growth trend based on PVAR model. 2021 13th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA), IEEE, Beihai, China, 2021, pp. 1–10.
6. Zhidong Deng, Nuo Tian, Kunpeng Liu, Di Wu. Trend prediction method of economic fixed base index of power industry based on time series. 2021 International Conference on Wireless Communications and Smart Grid (ICWCSG), IEEE, Hangzhou, China, 2021, pp. 1–4.
7. Cuiqin Liu. Prediction Method of the Industrial Economic Operation Index Based on an Improved Genetic Algorithm. 2021 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI), IEEE, Harbin, China, 2021.
8. H. F. de Mendonca, and A. F. G. Almeida, “Importance of credibility for business confidence: evidence from an emerging economy”,Empirical Economics, 2018.
9. H. Sakaji, R. Kuramoto, H. Matsushima, K. Izumi, T. Shimada, and K. Sunakawa, “Financial Text Data Analytics Frameworkfor Business Confidence Indices and Inter-Industry Relations”, Proceedings of the First Workshop on Financial Technology and Natural Language Processing, Macao, China, August 12, 2019, pp. 40-46
