Name
Malykhina Maria Petrovna
Scholastic degree
•
Academic rank
professor
Honorary rank
—
Organization, job position
Kuban State Technological University
Web site url
—
—
Articles count: 6
In the article we have considered the analysis of the
dependence of RGB components for segmentation of objects on images
The article deals with a set of basic patterns of technical analysis and reviews their recognition techniques using neural network methods. The existing approaches to the problem have been set. The reasons of relevance of the described technique have been
shown
Selection of borders on images through color difference is reviewed in this article. The existing approaches are considered, the problems are set. We also show the reasons of shifting to other approaches
This article is devoted to the problem of network
attacks recognition, which is essential for providing
network security. A research of neural network
efficiency has been held. Such metaeuristic
algorithms as genetic algorithm, gray wolf
algorithm and firefly algorithm have been applied
for the neural network learning. The algorithms’
fundamentals have been described. Multilayer
perseptrone with sigmoid activation function has
been selected for the task of network attack
presence check. Various configurations of the
neural network have been tested in order to find the
optimal number of layers and neurons per layer,
which ensure the least error. Learning has been
performed by minimization of the average squared
error between the network’s output and its target
value with the help of the listed algorithms. Genetic
algorithm requires accurate parameter picking in
case of any network’s architecture alteration.
Moreover, it is not as fast as firefly and gray wolf
algorithms. Gray wolf algorithm appears to be the
most effective one. However, it loses its efficiency
if the number of layers is increased. Firefly
algorithm proves to be the most universal one.
Although it is less effective than gray wolf
algorithm, it provides the most exact output even if
the network’s structure is changed
The article discusses the ways of working of an intelligent system based on hybridization of several technologies of intelligent computations. A model of the hybrid system is represented. The effectiveness of the proposed approach has been proved
The article deals with the automated system that will allow users to make the structure of the existing database efficiently by sequential normalization with the use of explanatory system