Selection of state variables and algorithms of parametric identification of the object by its kinematic characteristics

Authors

DOI:

https://doi.org/10.15587/2313-8416.2017.99049

Keywords:

pattern recognition, fuzzy clustering, algorithms of parametric classification, generalized coordinates, Lame functions

Abstract

It is shown that algorithms of fuzzy clustering or algorithms of parametric classification can be used to solve the problem of qualitative identification under fuzzy data. It is suggested that in the conditions of masking the object as information signs for solving the recognition problem it is necessary to use the kinematic characteristics of their motion: the components of the velocity vectors and the acceleration of the characteristic points of the object in a system of generalized coordinates using Lame functions

Author Biography

Mourad Aouati, Central City Police Department of Constantine Ali Mendjeli UV 01 Ilot 03 Bt H n°123 Constantine Algeria

Chief Commissioner of Police

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Published

2017-04-21

Issue

Section

Technical Sciences