BI-TIZIMNING CHUQUR O’QITISH ASOSIGA QURILGAN UMUMLASHGAN ARXITEKTURASI
Kalit so'zlar
https://doi.org/10.47390/ts-v3i8y2025No5Kalit so'zlar
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 qilishAnnotasiya
Mazkur maqolada “BI-Pred 1.0” dasturiy jamlanmasining umumiy arxitekturasi va uning asosiy komponentlari tahlil qilinadi. Model qurilishida ma’lumotlarni tayyorlash, dastlabki ishlov berish, mashinali o‘qitish algoritmlari hamda gibrid yondashuv asosida ishlab chiqilgan LSTM, Linear Regression va Support Vector Regression modellarining qo‘llanishi ko‘rib chiqiladi. Ushbu yondashuv asosida qishloq xo‘jaligi mahsulotlari narxlarini, xususan kartoshka narxlarini bashoratlash imkoniyati asoslab beriladi. Tadqiqot natijalari, iqtisodiy jarayonlarda intellektual tahlil usullaridan samarali foydalanish orqali strategik qarorlar qabul qilishni yengillashtirishi bilan ahamiyatlidir
Manbalar
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