Eurasian Journal of Mathematical Theory and Computer Sciences 4-jild 5-son (2024) · 7–10-betlar

ANALYSIS OF AUTOMATIC DOCUMENT CLASSIFICATION ALGORITHM BASED ON USING ARTIFICIAL NEURAL NETWORKS

Qonarbaev, David

DOI: 10.5281/zenodo.11112272 · Manbada o'qish → · PDF (manba serverida)

Annotatsiya

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.

Neural network, technologies, models, algorithm, formulas and functions.Neyron tarmog‘i, texnologiyalar, modellar, algoritm, formulalar va funksiyalar.

Metadata manbasi: jurnal OAI-PMH arxivi · Sindex to'liq matnni saqlamaydi, manbaga havola beradi.