MODELS OF GENERATION OF INPUT DATA OF TRAINING OF NEURAL NETWORK MODULES FOR DIAGNOSTIC OF DISEASES IN UROLOGY

MODELS OF GENERATION OF INPUT DATA OF TRAINING OF NEURAL NETWORK MODULES FOR DIAGNOSTIC OF DISEASES IN UROLOGY

The subject of the research presented in the article is neural network modules (NNMs), which are used to solve problems in the practice of diagnosing diseases in urology. This work aims to develop a mathematical model for generating a multitude of uroflowmetric parameters, in particular, graphs of u...

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Bibliographic Details
Main Author:	Mykola Ivanovych Fedorenko
Format:	Article
Language:	English
Published:	National Aerospace University «Kharkiv Aviation Institute» 2019-12-01
Series:	Радіоелектронні і комп'ютерні системи
Subjects:	uroflowmetric parameters graph of the uroflowrogram normal noise neural network modules training of neural network modules diagnosis of diseases
Online Access:	http://nti.khai.edu/ojs/index.php/reks/article/view/1011

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