Issue 2 (192), article 6


Kibern. vyčisl. teh., 2018, Issue 2 (192), pp.

Zlepko S.M.1,
D.Sc. (Engineering), Professor,
Head of the Department of Biomedical Engineering
Chernyshova T.A.2, Doctor
Maevsky O.E.3, Dr (Medical), Professor,
Head of the Department of Histology
Krivonosov V.E.4, docent,
Department of Biomedical Engineering
Azarkhov O.Y., Dr (Medical), Professor,
Head of the Department of Biomedical Engineering

1Vinnytsia National Technical University,
Khm. highway 95, 21021, Vinnytsia, Ukraine
2Medical Center of National Aviation University,
Cosmonaut Komarov ave., 1, 03058, Kyiv, Ukraine
3Nicholay Pirogov Vinnitsa National Medical University,
Pyrohova str, 56, 21000, Vinnytsia, Ukraine
4Priazovsky State Technical University,
Universytetska str, 7, 87500, Mariupol, Ukraine


Introduction. The development of information systems and technologies for the processing of medical images of cells obtained in the study of histological preparations is one of the most important and priority directions of modern medical science.
The purpose of the article is to detect the CPR at various localizations of malignant neoplasms is currently one of the topical issues in oncology.
Results. A distinctive feature of the CPR is the aggressive metastatic potential, which allows them to be considered as the main mechanism of tumor progression. The article describes the methods of detecting the CPC, the functions and operations of image processing. The modern methods and algorithms for processing and restoring biomedical images are analyzed. The work of information technology for the determination of circulating tumor cells in human blood is given step by step. A comparison of the developed technology and existing analogues is made.
Conclusions. Unlike the existing technology, it detects a 4-micromycle GPC in the study of blood samples from patients with micellar lung cancer. The doctor, thus, received an automatic technology for the determination of the CPP in peripheral or venous blood with high reliability and informativeness, with maximum preservation of the integrity and invulnerability of circulating tumor cells. The analysis of literary sources and their own clinical studies have confirmed that only technologies based on the ISET method allow the detection of very rare circulating trophoblast cells of the fetus from the mother’s blood.

Keywords: technology, circulating tumor cell, medical image, histology, treatment, definition, criterion.

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1 Lukashevich M.M., Starovoytov V.V. Method of counting the number of cell nuclei on medical histological images. System analysis and applied informatics. 2016. No 2. P. 37–42. URL: (Last accessed: 15.05.2018) (in Russian).

2 Determination of CSC content in peripheral blood in patients with primary generalized breast cancer at the treatment stages. URL: (Last accessed: 15.05.2018) (in Russian).

3 Kagan M., Howard D., Bendele T., Mayes J., Silvia J., Repollet M., Doyle J. A Sample Preparation and Analysis System for Identification of Circulating Tumor Cells. Journal of Clinical Ligand Assay. 2002. V. 25, N 1. P. 104–110.

4 Vona G., Sabile A., Louha M., Sitruk V., Romana S., Schutze K., Capron F. Isolation by size of epithelial tumor cells?: a new method for the immunomorphological and molecular characterization of circulatingtumor cells. The American journal of pathology. 2000. V. 156, N 1. P. 57–63.

5 Hayes G., Busch R., Voogt J., Siah I., Gee T., Hellerstein M., Chiorazzi N. Isolation of malignant B cells from patients with chronic lymphocytic leukemia (CLL) for analysis of cell proliferation: validation of a simplified method suitable for multi-center clinical studies. Leukemia research. 2010. V. 34, N 6. P. 809–815.

6 Pavlov A.Yu., Gafanov R.A., Tsibulskiy A.D., Fastovets S.V., Kravtsov I.B., Isaev T.K. The role of evaluation of circulating tumor cells in prostate cancer: diagnosis and dynamic observation. RMJ. 2016. No 8. P. 480–487 (in Russian).

7 Cell Search. URL: (Last accessed: 25.04.2018)

8 Babyuk N.P. Method and system of estimation of dynamic changes of biomedical images in ophthalmology. Thesis, PhD (Engineering), Vinnitsia, VNTU, 2016, 24 p. (in Ukrainian

9 Hou JM, Krebs MG, Lancashire L, Sloane R, Backen A, Swain RK, ct al. Clinical significance and molecular characteristics of circulating tumor cells and circulating tumor microemboli in patients with small-cell lung cancer. J Clin Oncol. 2012. No. 30(5). P. 525–532.

10 Ma YC, Wang L, Yu PL. Recent Advances and Prospects in the Isolation by Size of Epithelial Tumor Ceils (ISET) Methodology. Technol Cancer Res Treat. 2012. No. f 2(4). P. 295–309.

11 Farace F, Massard C, Vimond N, Drusch F, Jacques N, Billiot F, el al. A direct comparison of CellSearch and ISET for circulating tumour-cell detection in patients with metastatic carcinomas. Br J Cancer. 2011. No. 105(6). P. 847–853.

12 Mouawia H, SakerA, Jais JP, Benachi A, Bussieres L, LacourB,el al. Circulating trophoblastic cells provide genetic diagnosis in 63 fetuses at risk for cystic fibrosis or spinal muscular atrophy. Reprod Blamed Online. 2012. No. 25(5). P. 503–520.

13 Burdenyuk I.I. Information technology for decision-making support in the analysis of biomedical data. Thesis, PhD (Engineering), Vinnitsia, VNTU, 2010. — 19 p. (in Ukrainian).

14 Ismailova G., Laget S., Paterlini-Brechot P. Diagnosis of circulatig tumor cells using ISET technology and their molecular characteristics for fluid biopsy: URL: (Last accessed: 13.05.2018) (in Russian).

15 15. Ledov V.K., Skrinnikova M.A., Popova O.P. Isolation of Circulating Tumor Cells by Isolated Size (ISET) (Overview). Vice versa Oncology. 2014. No 60(5). P. 548–552. (in Russian).

16 16. Cytological diagnosis of breast cancer URL: (Last accessed: 05.2018) (in Russian).

17 Sensitivity and specificity of diagnostic research URL: (Last accessed: 20.05.2018) (in Russian).

18 18. MedovyiyS., Pyatnitskiy A.M., Sokolinskiy B.Z. Innovative project Development of a complex of automated microscopy, its cloud functional, Internet resource of laboratory telemedicine for medical analysis of biomaterials (MECOS-CZ). Innovation and examination. Is. 2(9), 2012, s. 50–64. (in Russian).

19 Ablameyko S.V., Nedzved A.M. Processing of optical images of cellular structures in medicine. Minsk, 2005. 156 p. (in Russian).

20 Chernyshova T.A, Zlepko S.M., Timchik S.V., Krivonosov V.Ye., Zlepko O.S. Information system for obtaining and processing microscopic images of circulating tumor cells (CPC). Achievements of clinical and experimental medicine. 2017. No 4 (32). P. 39–46.

21 Chernishova T.A., Zlepko S.M., Azarkhov O.Yu., Danilkov S.O., Krivonosov V.Ye., Baranovskyi D.M. Medical Informatics and Engineering: Sciences. Pract. Journal 2017. No 4 (40). P. 30–35. (in Ukrainian).

Received 03.04.2018

Issue 2 (192), article 5


Kibern. vyčisl. teh., 2018, Issue 2 (192), pp.

Rysovana L.M.1,
Department of Medical and Biological Physics and Medical Informatics
Vуsotska O.V.2,
Dr (Engineering), Professor,
Professor of the Department of Information Control Systems
1Kharkov National Medical University,
Nauky ave., 4, 61022, Kharkiv, Ukraine
2Kharkov National University of Radio Electronics,
Nauky ave., 14, 61166, Kharkiv, Ukraine


Introduction. In modern conditions, there are topical issues of studying the mechanisms of formation and specificity of clinical manifestations of discirculatory encephalopathy in the able-bodied population. A large number of interrelated indicators that characterize emotional and cognitive disorders, the analysis of which requires the use of mathematical methods and software, determined the need to develop an information system for the detection of emotional and cognitive disorders in patients with discirculatory encephalopathy.
The purpose of the article is to develop a medical information system for the detection of emotional and cognitive disorders in patients with discirculatory encephalopathy, which increases the accuracy of diagnosis.
Materials and methods. The article uses mathematical statistics methods for processing diagnostic information; methods of mathematical modeling for constructing mathematical models for detecting the likelihood of emotional disorders and identifying and determining the severity of cognitive disorders in patients with discirculatory encephalopathy; methodical bases of construction of information technologies in medicine at construction of information system of revealing emotional and cognitive disorders in patients with discirculatory encephalopathy.
Results. During the writing of the article, a method was developed for detecting emotional and cognitive disorders in patients with discirculatory encephalopathy, including the definition of the likelihood of emotional disorders, the exposure vector for psychocorrection, the detection of cognitive disorders and determining their severity, and predicting the further development of cognitive disorders. A structural diagram of the medical information system “СognitiveDE” has been developed, which determines the composition and purpose of its main modules, and has allowed to develop a methodological basis for describing the interaction of the elements of the biological and technical subsystems. The software of the medical information system “СognitiveDE” was verified, which showed the compliance of the results of the individual stages of the system development with the requirements and restrictions formulated for them.
Conclusions. Using the developed method for detecting emotional and cognitive disorders in patients with discirculatory encephalopathy, based on developed mathematical models for determining the likelihood of emotional disorders and determining the severity of cognitive disorders, allows correctly diagnosing emotional and cognitive disorders.
The presented medical information system can be used by doctors of the neurological and psychiatric departments and medical psychologists to improve the accuracy and reduce the time of diagnosis of emotional and cognitive disorders.

Keywords: medical information system, assessment method, cognitive and emotional disorders, discirculatory encephalopathy.

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  1. Vysotskaya E.V., Kоzhina А.М., Risovanaya L.M., Chaika H.E. Application of discriminant analysis for the classification of cognitive disorders in patients with discirculatory encephalopathy. Information processing system, 2013, Vol. 9, pp. 189–193. (In Russian).
  2. Kоzhina А.М., Grigorova І.А., Korosty V.І. and others. Organic mental disorders due to somatic diseases: cognitive and emotional disorders. Kharkov: Ukraine Rarities, 2012, 120 p. (In Ukrainian).
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    511 pp. (In Russian).
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  6. Altamirov S.A. Application of information technology in the activities of a psychiatrist. Young Scientis, 2016, Vol. 29, pp. 200–203. (In Russian).
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  8. Kan L.V., Kuznetsova Y.M., Chudova N.V. Expert systems in the field of psychodiagnostics. Artificial Intelligence and Decision Making, 2010, Vol. 2, pp. 26–35. (In Russian).
  9. Rysovana L., Vysotska O., Porvan A., Alekseenko R. Family Crisis Investigation on the Basis of Regression Analysis. The problems of empirical research in psychology and humanities: Roland Barthes VIII International Scientific Conference. Europejskie Studia Humanistyczne: państwo i społeczeństwo. Krakow, 2016, Vol. 2, p. 83–91.
  10. Nechaeva G.I., Achmedov V.A., Bereznikov A.V. and others. Methodical approaches to the expert evaluation of the quality of therapeutic care for chronic cholecystitis. Therapeutic archive, 2010, Vol. 1, pp. 12–15. (In Russian).
  11. Watson A., McCabe T. Structured Testing: A Testing Methodology Using the Cyclomatic Complexity Metric. URL: (Last accessed: 10.11.2017) 1996.

Received 26.02.2018

Issue 2 (192), article 4


Kibern. vyčisl. teh., 2018, Issue 2 (192), pp.

Buzynovsky А.B.1,
PhD student,
Kovalenko A.S.1,
D.Sci. (Medicine), Professor,
Head of Medical Information Systems Department
Bayazitov N.R.2,
D.Sci. (Mdicine),
Professor at the Surgery Department
Godlevsky L.S.2,
D.Sci. (Medicine), Professor,
Chief of the Department of Biophysics, Informatics and Medical Devices

1International Research and Training Center for Information Technologies
and Systems of the National Academy of Sciences of Ukraine
and Ministry of Education and Science of Ukraine,
Acad. Glushkova av., 40, Kiev, 03187, Ukraine
2Odessa National Medical University,
Valekhovsky Lane, 2, Odessa, 65082, Ukraine


Introduction. The problem of correct diagnostics with the decision on the consequent adequate treatment of diseases which are causative for pelvic pain syndrome in women is actual for 15–24% women of fertile age.
The purpose of the work is to investigate the effectiveness of different methods of treatment women with pain syndrome originated from pelvis and lower part of abdomen on the basis of retrospective analysis of 1092 histories of diseases during 2013–2017 р.р.
Methods. Method of decision tree building up was used. The probability of different outcomes — restoration of health, recurrence of the disease along with the perioperative complications as well as duration of treatment in each case were taken into consideration as informative indices for decision tree composing. On the basis of mentioned data the index of effective period of treatment (EPT) was calculated. Period of observation was six months from the moment of disease diagnostics.
Results. It was established that the probability of complete health restoration was 0,83 after surgical treatment and 0,62 after drug treatment. In case of initial inefficiency of drug treatment the probability of restoration of health as a result of surgical intervention was 0,40. The EPT in surgically treated patients was less than EPT in patients with therapeutic treatment by 3,29 times at the moment of making decision on the method of treatment.
Conclusions. It was concluded that early decision on surgical intervention as a method of diagnostics and treatment was more effective when compared with the drug method of treatment women with pelvic pain syndrome. Dependence of the treatment effects upon perioperative complications serve as forecasting data for individual medical care delivered during postoperative period.

Keywords: tree of decision, undertaking of decision in surgery, pain syndrome, the effectiveness of treatment estimation.

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1 Lyashenko A.V., Bayazitov N.R., Godlevsky L.S. et al. Informational-technical system for automatized laparoscopic diagnostics. Radioelectronics, computer sciences and control. 2016. No 4. P. 90–96. (in Ukrainian).

2 Egorov A.A., Mikshina V.S. The models of surgeon decision. Letters on New Medical Technologies, 2011, Vol. 7, No4. P. 178–81. (in Russian)

3 Litvin A.A., Litvin V.A. Systems of decision support in surgery. News of Surgery, 2014. No 1. P. 96–100. (in Russian)

4 Kucey D.S. Decision analys is for the surgeon. World J.Surg, 1999. Vol. 23. P. 1227–1231.

5 Sears E.D., Chung K.C. Decision analysis in plastic surgery: A Primer. PlastReconstrSurg. 2010. Vol. 126, N4. P. 1373–1380.

6 Ozerskaya I.A., Ageeva M.I. Chronic pelvic pain in women of fertile age. Ultrasonic diagnostics. Moscow 2009. 299 p. (in Russian)

7 Kiryanov B.F., Tokmachov M.S. Mathematical models in health care: text-book. Novgorod, 2009. 279 p. (in Russian)

8 Rudenko S.V., Romanenko M.V., Katunina O.G., Kolesnikova E.V. Markov models of patients state changes in projects of delivering medical service. Control of complicated systems development. 2012. No12. P. 86–89. (in Ukrainian)

9 Detsky A.S., Nagile G., Krahnetal M.D. Primer on medical decision analysis: Part 2. Building a tree. MedDecis Making. 1997. 7. P. 126–135.

10 Breiman L., Friedman J.H., Olshen R.A., Stone C.J. Classification and regression trees. Monterey, CA 1984. 368 p.

Reseived 12.10.2017

Issue 2 (192), article 3


Kibern. vyčisl. teh., 2018, Issue 2 (192), pp.

Zhiteckii L.S.,
PhD (Engineering),
Acting Head of the Department of Intelligent Automatic Systems
Solovchuk K.Yu.,
PhD Student

International Research and Training Center for Information Technologies
and Systems of the National Academy of Science of Ukraine
and Ministry of Education and Sciences of Ukraine, Kiev, Ukraine,
Acad. Glushkova av., 40, Kiev, 03187, Ukraine


Introduction. The paper states and solves a new problem concerning the adaptive stabilization of a specific class of linear multivariable discrete-time memoryless systems with nonsquare gain matrices at their equilibrium states. This class includes the multivariable systems in which the number of outputs exceeds the number of control inputs. It is assumed that the unknown gain matrices have full rank.
The purpose of this paper is to answer the question of how the pseudoinverse model-based adaptive approach might be utilized to deal with the uncertain multivariable memoryless system if the number of control inputs is less than the number of outputs.
Results. It is shown that the parameter estimates generated by the standard adaptive projection recursive procedure converge always to some finite values for any initial values of system’s parameters. Based on these ultimate features, it is proved that the adaptive pseudoinverse model-based control law makes it possible to achieve the equilibrium state of the nonsquare system to be controlled. The asymptotical properties of the adaptive feedback control system derived theoretically are substantiated by a simulation experiment.
Conclusion. It is established that the ultimate behavior of the closed-loop control system utilizing the adaptive pseudoinverse model-based concept is satisfactory.

Keywords: adaptive control, multivariable system, discrete time, feedback, pseudoinversion, stability, uncertainty.

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17 Zhiteckii L. S., Azarskov V. N., Solovchuk K. Yu., Sushchenko O. A. Discrete-time robust steady-state control of nonlinear multivariable systems: a unified approach. Proc. 19th IFAC World Congress, Cape Town, South Africa, 2014, pp. 8140–8145.

18 Zhitetskii L. S., Skurikhin V. I., Solovchuk K. Yu. Stabilization of a nonlinear multivariable discrete-time time-invariant plant with uncertainty on a linear pseudoinverse model. Journal of Computer and Systems Sciences International, 2017, vol. 56, no. 5, pp. 759–773.

19 Zhiteckii L. S., Solovchuk K. Yu. Pseudoinversion in the problems of robust stabilizing multivariable discrete-time control systems of linear and nonlinear static objects under bounded disturbances. Journal of Automation and Information Sciences, 2017, vol. 49, no. 5, pp. 35–48.

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Received 29.03.2018

Issue 2 (192), article 2


Kibern. vyčisl. teh., 2018, Issue 2 (192), pp.

Grytsenko V.I.1,
Corresponding Member of NAS of Ukraine,
Director of International Research and Training
Center for Information Technologies and Systems
of the National Academy of Sciences of Ukraine
and Ministry of Education and Science of Ukraine
Gladun A.Y.1,
PhD (Engineering), Senior Researcher of the Department of Complex Research
of Information Technologies and Systems
Rogushina Y.V.2,
PhD (Phyz&Math), Senior Researcher of the Department of Automated Information Systems
1International Research and Training Center for Information
Technologies and Systems of the National Academy
of Sciences of Ukraine and Ministry of Education and Science of Ukraine,
40, Acad. Glushkov av., 03187, Kiev, Ukraine
2Institute of Program Systems of the National Academy of Sciences of Ukraine,
40, Acad. Glushkov av., 03187, Kiev, Ukraine


Introduction. The construction and implementation of intelligent systems based on the formalization and reuse of knowledge is a promising direction for the practical application of artificial intelligence methods. The basis of such systems is formalized representations of knowledge about the subject area, for example, in the form of ontology. There remains an open question of the choice of the formal apparatus tools for the construction of ontology.
The purpose of the paper is to develop models of structured representation of knowledge in Wiki-resources on the basis of ontologies and methods of their application for improving and replenishing ontologies of the subject area. The offered approach will allow integrating the current information on changes in the subject area and creating actual ontologies for various applied information technologies using ontologies.
Results. The expediency of using ontologies for presentation of knowledge in systems of artificial intelligence oriented to functioning in the open environment of the Web is considered. The researches connected with the construction of formal ontologies of subject areas and the means of their formalization are analyzed. A formal model of ontology, which specifies the existing approaches, describing in more detail the properties and characteristics of the relations between the main elements of ontology is proposed. An example of using the proposed method in the task of transforming the natural text into a sign language in the system of information support of people with speech and hearing impairments is given.
Conclusions. The paper describes a method for renewal the ontology of a subject area based on the proposed model and the use of semantically-tagged Wiki-resources as a source of knowledge. This provides a dynamic replenishment of the knowledge base of applied intelligent systems. The proposed method of renewal formal ontologies of the subject domain from semantic Wiki-resources provides the expansion of the vocabulary and the construction of its specialized versions for various professional fields or subject areas using external databases. The automatic addition of new words from subject areas is particularly important for developing industries, especially for the IT sector, which has a large number of people with speech and hearing impairments. The proposed approach will improve the quality of life for many people, expanding the boundaries of their communication.

Keywords: formal ontology, ontological languages, formal model of ontology, interpretation of ontologies, semantic Wiki-resources, information system.

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1 Gruber, T.R. A translation approach to portable ontology specifications. Knowledge Acquisition. 1993. Vol 5. P. 199–220.

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7 Rogushina Yu.V., Gladun A.Ya. Mereological aspects of the ontological analysis of intelligent Web-services. Proceedings of the VII International Conference “Intellectual Analysis of Information” IAI-2007, 12-14 Mai 2007, Kyiv. — P. 312–321. (in Russian)

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12 Guarino N. Formal Ontology and Information Systems. In: Ontology in Information Systems. Proceedings of FOIS-08, Trento. Italy, by N. Guarino (ed.), Amsterdam, IOS-Press, 2009. 340 p.

13 Rogushina Yu.V., Priyma S.M, Strokan O.V. Creating and using semantic Wiki-resources: tutorial. Melitopol, FOP Odnorog T.V., 2017. 169 p. (in Ukrainian).

14 Anisimov A.V., Lyman K.S., Marchenko A.A. Methods for computing measures of semantic proximity of natural language words. Artificial Intelligence, 2009, No 3. P. 612–617. (in Russian)

15 15. Lozynska O., Davydov M. Information technology for Ukrainian Sign Language translation based on ontologies. An International quarterly journal ECONTECHMOD, 2015, Vol. 04, No. 2, P. 13–18.

16 16. Gladun A.Ya. Khala K.O. Standard DSTU ISO/IEC 2382:2018 Information Technologies. Dictionary. Kyiv: UkrNDNC, 2018. 526 p. (in Ukrainian).

17 Anisimov A., Marchenko O., Taranukha V., Vozniuk T. Semantic and Syntactic Model of Natural Language Based on Non-negative Matrix and Tensor Factorization. Proceedings of the International Conference on Natural Language Processing, 2014, Springer, Cham. P. 177–184.

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Received 02.04.2018

Issue 2 (192), article 1


Kibern. vyčisl. teh., 2018, Issue 2 (192), pp.

Fainzilberg L.S.1, Dr (Engineering), Professor,
Chief Researcher of the Department of Intelligent Automatic Systems
Matushevych N.A.2, Master student,
Faculty of Biomedical Engineering
1International Research and Training Center for Information Technologies
and Systems of the National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Acad. Glushkova av., 40, Kiev, 03187, Ukraine
2The National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute», Peremohy av., 37, Kiev, 03056, Ukraine


Introduction. One of the main tasks of artificial intelligence is pattern recognition, which is often reduced to determining the discriminant function parameters in the multidimensional feature space. When recognizable objects can be completely separated by a linear discriminant function, the task is reduced to the linear classifier learning. There are many algorithms for linear classifiers learning, two of which are the Rosenblatt learning algorithm and the Kozinets algorithm.
The purpose of the article is to investigate the properties of the Rosenblatt and Kozinets learning algorithms on the basis of statistical experiment by the Monte Carlo method.
Methods. Two algorithms for linear classifiers learning have been studied: Rosenblatt and Kozinets. A number of researches have been performed to compare the convergence rate of algorithms for a different number of points and for their different location. Variation of the iterations number of algorithms spent on samples of different sizes was analyzed.
Results. Statistical experiments have shown that for a small sample size in approximately 20% of cases the convergence rates of the Rosenblatt and Kozinets algorithms are the same, but with the increase of observations number, the Kozinets learning algorithm proved to be the absolute leader. Also, the convergence rate of the Kozinets learning algorithm is less sensitive to the location of points in the learning sample.
Conclusions. The higher convergence rate of the Kozinets algorithm compared to the Rosenblatt algorithm, confirmed by a series of statistical experiments, allows formulating a promising research line on the evolution of neural networks where the Kozinets algorithm will be used to adjust the basic elements — perceptrons.

Keywords: Linear classifier, Rosenblatt algorithm, Kozinets algorithm.

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Received 15.03.2018