DETECTING THE UROLOGIC DISEASES BY MEANS OF MULTIFACTORIAL HIERARCHIC NEURAL NETWORKS

Autor:	Н. И. Федоренко, И. М. Антонян, Р. В. Стецишин, В. С. Харченко
Jazyk:	English<br />Ukrainian
Rok vydání:	2016
Předmět:	багатофакторна ієрархічна структура нейромережевих модулів нейромережеве розпізнавання урофлоуметричних параметрів нейронні мережі ієрархічний зв'язок урофлоуметричних параметрів пацієнтів Computer engineering. Computer hardware TK7885-7895 Electronic computers. Computer science QA75.5-76.95
Zdroj:	Радіоелектронні і комп'ютерні системи, Vol 0, Iss 1, Pp 4-9 (2016)
Druh dokumentu:	article
ISSN:	1814-4225 2663-2012
DOI:	10.32620/reks.2016.1.01
Popis:	The article offers a multifactorial hierarchy structure of neural network modules, developed to diagnose the urologic diseases by processing versatile heterogeneous parameters. These parameters are obtained by carrying out uroflowmetry in patients, using a uroflometer. Based on the results of the analysis, the key parameters for detecting aberrations, obstructions, and diagnosing diseases have been selected. The key feature of the developed multifactorial hierarchy model is the modularized system for detecting the heterogeneous and versatile uroflowmetric parameters. This system is based on neural network modules of different architecture, and training methods. The ability of the neural network model to detect the uroflowmetric parameters in patients has been tested.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/c736a44f2d5e4c60b26d612a0c33b689 Zobrazit plný text záznamu View record in DOAJ