Improving the efficiency of information processing based on the entropy-parametric approach

International Workshop "Advanced Technologies in Material Science, Mechanical and Automation Engineering – MIP: Engineering – 2019"

材料科学;机械制造;原子能学

Polosin, V.G.^1 ; Bezborodova, O.E.^2 ; Bodin, O.N.^3 ; Trofimov, A.A.^3 ; Ubiennykh, A.G.^4

Medical Cybernetics and Computer Science Department, Penza State University, 40, Krasnay Str., Penza

440026, Russia^1

Technospere Safety Department, Penza State University, 40, Krasnay Str., Penza

440026, Russia^2

Information and Measuring Equipment and Metrology Department, Penza State University, 40, Krasnay Str., Penza

440026, Russia^3

Information Computing Systems Department, Penza State University, 40, Krasnay Str., Penza

440026, Russia^4

关键词: Euclidean;    Euclidean spaces;    Information spaces;    Measuring instruments;    Parametric approach;    Quantitative information;    Sampling results;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/537/2/022015/pdf
DOI  :  10.1088/1757-899X/537/2/022015

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

The paper contains an analysis of the task of establishing quantitative information reflecting the properties of the observed object. The authors of the article showed that in order to operate, both controls instruments and measuring instruments, it is necessary to form a "Euclidean measure" for the property of the object at the current time. The article describes an independent method for estimating the uncertainty of the state of an object by calculating the entropy of its observed properties. In particular, it is shown that the entropy potential is proportional to the measure of Euclidean space. A description is given of the method for determining the shape of an approximating function for sampling results based on a comparison of the difference between Euclidean measures and measures of the information space formed for entropy potential.