METHODS OF CLASSIFICATION OF REGULATORY AND TECHNICAL INFORMATION USING NEURAL NETWORKS
TASHPULATOVA N.B., BELOV S.V., LIM V.G., SHARIPOV B.A., NASIROVA D.T.
Konferensiya
Raqamli transformatsiyalash jarayonida muhandislik sohalari va iqtisodiyot tarmoqlarini rivojlantirish: muammo va yechimlar
Yo'nalish
Sun’iy intellekt va kelajak texnologiyalari
Tashkilot
Muhammad al-Xorazmiy nomidagi Toshkent axborot texnologiyalari universiteti
Tavsif
The ease and convenience of working with large databases of normative and technical information are largely determined by the use of certain classification systems. The classification of a document by a subjective feature performed by an expert is subject to the influence of a subjective factor. In addition, a document with a certain probability can belong to several different classes, which causes difficulties in choosing the most appropriate class.