Speaker
Prof.
Alexander Tcherepanov
(senior lecturer)
Description
New method for subject recognition is proposed. We need to know sets of several
parameters of assumed subjects for realization of this method. On the base of
knowledge about value of these parameters and them distribution characteristics we
can say whether investigated subject is assumed subject or no.
Parameters of proposed method can have discontinuous or continuous value. In case of
discontinuous parameters we use logic approach for problem-solving of identification
of subjects. Than we have two types of results: (1) investigated subject is assumed
subject; or (2) investigated subject is not assumed subject. In case of continuous
parameters we use mathematical statistics approach for problem-solving of
identification of subjects. Than we have continuous set of results corresponding
probability that whether investigated subject is assumed subject or no. Reliability
of subject recognition depends on number of using parameters.
Proposed method can be used for different applications. For example, it can be used
for identification of kind of wood by contain of trace contaminant into ashes; it
can be used for medical diagnostics and identification of type of diseases by
several factors; it can be used for pattern recognition and so on. So proposed
method can found of wide application.
Author
Prof.
Alexander Tcherepanov
(senior lecturer)
Co-authors
Dr
Boris Shulgin
(Professor)
Dr
Vladimir Ivanov
(Associated professor)
