Generalized architecture of a bi system based on deep learning

Matchonov , Shohrukh, Asatov , Timur

Techscience.uz - техника фанлари долзарб масалалри · 2025-yil

Annotatsiya

This paper analyzes the overall architecture and key components of the software package “BI-Pred 1.0.” The study examines the application of data preparation, pre-processing, and machine learning algorithms within a hybrid deep-learning approach that integrates LSTM, Linear Regression, and Support Vector Regression (SVR) models. Based on this approach, the feasibility of forecasting agricultural product prices—particularly potato prices—is substantiated. The research results demonstrate that the effective use of intelligent data-analysis methods in economic processes can significantly facilitate strategic decision-making and improve forecasting accuracy

Maqola ma’lumotlari
MualliflarMatchonov , Shohrukh, Asatov , Timur
JurnalTechscience.uz - техника фанлари долзарб масалалри
NashriyotЖиззах политехника институти
ISSN3030-3702, 3030-3702
Nashr sanasi2025-10-11
Jild3
Son8
Betlar37-45
TilIngliz
Ilmiy sohaTexnika
DOI10.47390/ts-v3i8y2025no5
Indeksga qo‘shilgan2026-08-26

DOI: 10.47390/ts-v3i8y2025no5 · Maqolaning asl sahifasi

Kalit so‘zlar

Business Intelligence (BI); Deep Learning; Data Preparation; LSTM; Linear Regression; Support Vector Regression (SVR); Hybrid Model; Forecasting System; Agricultural Product Prices; BI-Pred 1.0; Intelligent Analysis; Data Visualization; Strategic Decision Making, Biznes-intellekt (BI), chuqur o‘qitish, ma’lumotlarni tayyorlash, LSTM, chiziqli regressiya (Linear Regression), tayanch vektor regressiyasi (SVR), gibrid model, bashoratlash tizimi, qishloq xo‘jaligi mahsulotlari narxlari, BI-Pred 1.0, intellektual tahlil, ma’lumotlarni vizualizatsiya qilish, strategik qarorlar qabul qilish

Ilmiy soha

Texnika

Iqtibos keltirish

APAMatchonov , Shohrukh, & Asatov , Timur (2025). GENERALIZED ARCHITECTURE OF A BI SYSTEM BASED ON DEEP LEARNING. Techscience.uz - техника фанлари долзарб масалалри, 3(8), 37-45. https://doi.org/10.47390/ts-v3i8y2025no5
GOST (OAK)Matchonov , Shohrukh, Asatov , Timur GENERALIZED ARCHITECTURE OF A BI SYSTEM BASED ON DEEP LEARNING // Techscience.uz - техника фанлари долзарб масалалри. – 2025. – T. 3, № 8. – P. 37-45. – DOI: 10.47390/ts-v3i8y2025no5.
MLAMatchonov , Shohrukh, and Asatov , Timur. “GENERALIZED ARCHITECTURE OF A BI SYSTEM BASED ON DEEP LEARNING.” Techscience.uz - техника фанлари долзарб масалалри, 3(8), 37-45, 2025. https://doi.org/10.47390/ts-v3i8y2025no5
ChicagoMatchonov , Shohrukh, and Asatov , Timur. “GENERALIZED ARCHITECTURE OF A BI SYSTEM BASED ON DEEP LEARNING.” Techscience.uz - техника фанлари долзарб масалалри, 3(8), 37-45 (2025). https://doi.org/10.47390/ts-v3i8y2025no5
HarvardMatchonov , Shohrukh, and Asatov , Timur (2025) ‘GENERALIZED ARCHITECTURE OF A BI SYSTEM BASED ON DEEP LEARNING’, Techscience.uz - техника фанлари долзарб масалалри, 3(8), 37-45. https://doi.org/10.47390/ts-v3i8y2025no5
BibTeX
@article{matchonovshohrukh2025,
  title = {GENERALIZED ARCHITECTURE OF A BI SYSTEM BASED ON DEEP LEARNING},
  author = {Matchonov , Shohrukh and Asatov , Timur},
  journal = {Techscience.uz - техника фанлари долзарб масалалри},
  year = {2025},
  volume = {3},
  number = {8},
  pages = {37-45},
  doi = {10.47390/ts-v3i8y2025no5},
  url = {https://doi.org/10.47390/ts-v3i8y2025no5}
}

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