SUNʼIY NEYRON TARMOQLARIDAN FOYDALANISHGA ASOSLANGAN AVTOMATIK HUJJAT TASNIFI ALGORITMINI TAHLIL QILISH

Ushbu maqolada neyron tarmog‘i texnologiyalari va ularning foydalanish usullari haqida ko‘proq ma’lumot berilgan. Mualliflar algoritmlarni oshirish, genetik algoritmlardan foydalanish, minimal qoplamali daraxtalar va klasterlash algoritmlari haqida muhim ma’lumotlar ko‘rsatadilar. Elektron hujjat oqimini tasniflashda neyron tarmoqlaridan foydalanish vositalarini ishlab chiquvchilarni ko‘proq jalb qiladi. Neyron tarmog‘i matematik modellari va ularning ishlovchi prinsiplari to‘g‘ri ko‘rsatilgan. Ayniqsa, neyron tarmog‘ining kiritish va chiqish mexanikasi bo‘yicha formulalar va funksiyalar tasvirlangan. Ushbu ma’lumotlar neyron tarmoq texnologiyalarini o‘rganish va tadqiq qilish uchun foydali bo‘lishi mumkin

This article provides more information about neural network technologies and how they are used. The authors provide important information on boosting algorithms, using genetic algorithms, minimum spanning trees, and clustering algorithms. The use of neural networks in the classification of electronic document flow attracts more developers of tools. Neural network mathematical models and their working principles are correctly shown. In particular, the formulas and functions of the input and output mechanics of the neural network are described. This information can be useful for learning and researching neural network technologies.