Классификация текстов с помощью нейронной сети

Bibliographic Details
Parent link:Технологии Microsoft в теории и практике программирования.— 2013.— [С. 178-180]
Main Author: Максумова Н. Р. Наталья Рашидовна
Summary:Заглавие с титульного листа.
This paper reports evidence that an oscillatory neural network model is applicable to the classification of objects.This article describes the features of a neuron with local feedback. Shows the transition of the neuron to an oscillating mode, and describes the features and capabilities possessed by this neuron. The software based on neural networks was developed, which allows to solve the problem of classification of unstructured text.
Language:Russian
Published: 2013
Series:Интеллектуальные системы и технологии
Subjects:
Online Access:http://www.lib.tpu.ru/fulltext/c/2013/C28/069.pdf
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=603227