Formation of the Structure and Training of a Multilayer Neural Network for the Analysis and Blood Glucose Level Prediction | Zendy

Д. Г. Привезенцев | Zendy; A. L. Zhiznyakov | Zendy; A. S. Belyakova | Zendy; A.A. Astafiev | Zendy

Open Access

Formation 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,

A.A. 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.

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