Open AccessFormation of the Structure and Training of a Multilayer Neural Network for the Analysis and Blood Glucose Level Prediction
Author(s) -
Д. Г. Привезенцев,
A. L. Zhiznyakov,
A. S. Belyakova,
Alexander Astafiev
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1828/1/012014
Subject(s) - artificial neural network , computer science , task (project management) , training (meteorology) , artificial intelligence , network structure , machine learning , software , training set , engineering , systems engineering , physics , meteorology , programming language
The work aims to develop software for conducting research on the formation of the structure and training a multilayer neural network for analyzing and blood glucose level prediction. The paper analyzes the task, considers the tools, methods and algorithms for solving the problem. A model of an artificial neural network was investigated, the structure was developed and training was carried out. Summed up based on the results and assessed the effectiveness of such a system.