Features of the synthesis of information and measurement systems using machine learning for conducting of environmental monitoring

The article is dedicated to the consideration of new methods for the synthesis of digital environmental monitoring systems, inclusive to the analysis through the methodology of machine learning. The role of circuit components proposed for implementation is considered. Attention is paid to the specifics of the analysis of already measured data and to the memory device of information-measuring systems. The importance of using MS-triggers and logistic regression in analysis of the stability of sensors is justified.