Name
Totukhov Konstantin Evgenyevich
Scholastic degree
•
Academic rank
—
Honorary rank
—
Organization, job position
Kuban State Technological University
Web site url
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Articles count: 3
In the article, we present the analysis and improvement
of existing methodologies for assessing the
intelligence factor, taking into account its use of the
Internet on a regular basis. Today, the use of the
Internet in our daily activities and tasks become
practice that is more common. The Internet has
become a popular and most frequently used means of
obtaining information quickly and in large volume.
The authors suggested the presence of the Internet and
its impact on the everyday use of psychological and
intellectual life of the people that can be recorded
because of user IQ scores. It is suggested here also gets
its development in the search for and analysis of
system models, allowing determining the numerical
values of the parameters. Specifically, it is proposed to
use a large variety of statistical data to clarify the
unknown parameters that determine the levels of
human intelligence, taking into account the impact of
the Internet. These statistics include information such
as the number of people with higher education, the
number of Internet users, the degree of the Internet penetration in society, the most typical tasks that use
the Internet users, and others. For the processing and
analysis of the test statistics in the work proposed to
use tools data mining, ie, data mining. We have also
considered the most typical approaches Data mining,
applied in similar research areas. We have analyzed
what specific principles and methods can best
approach to solving the problems of intelligence
assessment indicators. The result of the article was a
number of conclusions, in particular, the feasibility of
applying clustering to analyze data in the field. Also,
in certain cases, we provided the use of Kohonen
neural network in the vector quantization network
format. Methods: analysis of scientific literature and
online sources of information on the current level in
the field of IQ research; modeling; Methods
systematization (tabular calculations and compilation);
Experiment (real human test data). Methodological
bases of research: a systematic approach (considering
IQ in the form of a functional multi-component
dependencies), probabilistic and statistical approach
(provides guidance for constructing mathematical
models linking together IQ and the influence exerted
on it using the Internet, and to assess the reliability of a
computer program ) qualimetric approach (determines
the need multicriterion diagnostic influence of factors
on the level of intelligence)
This article discloses the use of hybrid neural / expertnetwork
systems to the problem of finding the
significant events of these studies market behavior.
The neural network is trained by back propagation, and
is used to highlight trends over time. The expert
system is used to determine the degree of significance
of data
This article discloses the use of neural networks to
recognize patterns in control charts. To recognize
unnatural situation under control is possible by
analyzing the chart pattern. Neural networks with
reinforcements are the third generation of neural
networks. In this study they are available for
recognition in the management chart patterns. The
article also discusses options for improvement of the
learning algorithm in the form of additional rules for
the synoptic pauses, time constants and switching
threshold neurons