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

Abstract

Abstract 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.