Happy Valentine's Day

With the start of each new day
I find myself thinking of you...
In the middle of my busy day,
my mind wanders and I think of you...
Out of nowhere I see your smile,
hear your laugh and I think of you...
Life is beautiful now because I fall in love
all over again each time I think of you

Selected publication 2009

64. Repka, Victoriya, Kliushnyk, Kateryna The communication model of BDI agents in the multiagents environment in Proceedings of the X International Conferences CADSM 2009, 24-28 February, 2009, Lviv-Polyana, Ukraine, pp. 258-259.
65. Shatovska, Tetyana, Repka, Victoriya, and Kamenieva, Iryna Intelligent Recruitment Services System in ‘Proceedings of the International Conferences ISTA 2009 (UNISCON 2009)’, Springer, series ‘Lecture Notes in Business Information Processing’, Sydney, Australia, April, 2009.
66. Fesenko, U., Repka, V. Statistical analysis of a Malampaty test informative as a predictor of complex children trachea intubation in ‘Bionics Intellect Journal’, Vol. 3(70), 2009. pp. 95-100 (in Russian).
67. Fesenko, U.A., Repka, V.B. Statistical analysis of dental distance as a predictor of complex children trachea intubation in Journal ‘Pain, Anesthesia and Intensive Care’, 2009, Vol.2, pp. 25-31 (in Ukrainian).
69. Fesenko, U.A., Repka, V.B. Statistical analysis of Sternomental distance as a predictor of complex children trachea intubations in ‘Problems of Modern Medical Science and Education Journal’, Vol. 2, 2009, pp. 62-65 (in Ukrainian).
71. Bondarenko, M., Lesna, N., and Repka, V. Implementation of innovative study technologies for education quality assurance and effective international collaborative in Journal ‘High Education of Ukraine’, 2009. pp. 15-22 (in Ukrainian).
72. Kamenieva, I., Shatovska, T., and Repka, V. Ontology data models for data and metadata exchange repository in Proceedings of X International Scientific-Practice Conference ‘Modern Information and electronic Technology’, Odessa, Ukraine, 18-21 May, 2009. p.49.
73. Shatovska, T., Kamenieva, I., and Repka, V. Technology of statistical data repository creation on the base of agent and ontological models in Proceedings of IX International Scientific Conference IAI -2009, Kiev, Ukraine, 19-22 May, 2009. pp. 439-446 (in Russian).
74. Victoriya, Repka, Anna, Liskonog, and Elena, Brovkovich Analysis of ontology storage methods for Semantic Web Applications in Proceedings of 12th International Conference UАDО ‘Education and Virtuality 2009’, Yalta, Ukraine, 2009, pp. 98-105 (in Russian).

Selected publication 2008

59. Repka, Victoriya, Ivchenko, Olga, and Sherstnyuk, Andrey Experiment results of Kohonen’s map efficiency for pattern visualization in Bionics Intellect, Vol. 1(68), 2008, pp. 143-148 (in Russian) .
60. Repka, Victoriya, Mishin, Alexey, and Maryin, Sergey The functioning of a user interactive communication program agent in a Distant Learning System in Bionics Intellect, Vol. 2(69), 2008, pp. 95-100 (in Russian) .
61. Repka, Victoriya, Kliushnyk, Kateryna, and Kozopolyanska, Anna The agent model of testing student knowledge in Distant Learning System in Bulletin of Kherson National Technical University, Vol.1(30), Kherson, 2008, pp. 417-421 (in Russian) .
62. Repka, Victoriya, Liskonog, Anna, and Brovkovich, Elena System of management of the international distant education process in Bulletin of Kherson National Technical University, Vol.1(30), Kherson, 2008, pp. 427-432 (in Russian) .
63. Repka, Victoriya, Lesna, Natalya, Ivchenko, Olga, and Sherstnyuk, Andrey Analytical system for supporting crediting process in bank in Bulletin of Kherson National Technical University, Vol.1(30), Kherson, 2008, pp.427-432 (in Russian) .

Fragment of Paper “Experimental researches of efficiency of Kohonen maps for pattern visualization”

There is a Fragment of Paper “Experimental researches of efficiency of Kohonen maps for pattern visualization” published in 2008 in Scientific and Technical Journal “Bionics Intellect”. Vol. 1(68).–2008. P.143-148 by Victoria Repka, Аndrey Sherstnyuk, Оlga Ivchenko, Natalya Lesna.

See on my Goggle Group:
http://groups.google.com/group/KhNUREstudents/web/Kohonen+Self.doc

Data set “Spirals” still was chosen for describing Kohonen map visualization because of its obviousness and simplicity result representation.

Ways of visualization by means of the Unified matrix of distances and visualization by the Hinton diagram are applied.
These experimental researches were spent for an estimation of visualization quality, by means of a distances matrix. It has shown that more effective is the map development of the greater size, than the addition of cells for distance mapping between neurons at coloring maps.
The received results have allowed making the conclusion that at increase in the size of a topological map, free cells are filled inactive neurons. They actually fill the cells visualizing distance at the same time as well as active neurons do it, depending on the map size and distribution of images over the nodes.
Later the results for multidimensional data set will present for sample about clients has been divided by a network into 4 groups and displayed by means of the Hinton diagram.

Spring has come!

Congratulation!
Spring came to Ukraine.

Several Examples of visualisation by Kohonen's SOM

The result of visualization for classical sample (2 spirals) by Kohonen's Self Organizing Map is presented.
The task is to learn to discriminate between two sets of training points which lie on two distinct spirals in the x-y plane. These spirals coil three times around the origin and around one another. This appears to be a very difficult task for back-propagation networks and their relatives.
Problems like this one, whose inputs are points on the 2-D plane, are interesting because we can display the 2-D "receptive field" of any unit in the network.
The task is to train on the 194 I/O pairs until the learning system can produce the correct output for all of the inputs.

SOM with such parameters:
size map - 30, Neighbor function - Cone, Radius - 10, Epochs - 250



SOM with the parameters:
size map - 30, Neighbor function - Cos, Radius - 5, Epochs - 100