IMZONI TANIB OLISHDA QO'LLANILADIGAN ASOSIY ALGORITMLAR: KLASSIK VA ZAMONAVIY METODLARNING SOLISHTIRILGAN TAHLILI
Tadqiqotda imzoni avtomatik tanib olish jarayonida qo‘llaniladigan algoritmlarning turlari va ularning samaradorlik darajasi tahlil qilinadi. Klassik yondashuvlar — Template Matching, Euclidean Distance, Dynamic Time Warping (DTW) — va zamonaviy metodlar — Support Vector Machine (SVM), Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) — funksional va texnologik mezonlar asosida solishtirildi. Tadqiqot natijalari klassik metodlar oddiy strukturali tizimlarda samarali bo‘lsa-da, zamonaviy chuqur o‘rganish modellarining aniqlik darajasi, barqarorlik va moslashuvchanlikda ustunligini ko‘rsatdi.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-26
- DOI
- https://doi.org/10.5281/zenodo.15285976
- Primary Topic
- Engineering and Agricultural Innovations
- Type
- article
- Field-Weighted Citation Impact
- 0.00