2016, volume 20, №1

Information and Computer Technologies

Research of neural network simulators through two training data sets

E Zdravkova, N Nenkov
COMPUTER MODELLING & NEW TECHNOLOGIES 2016 20(1) 12-15

Faculty of Mathematics and Informatics, University of Shumen “Episkop Konstantin Preslavsky” 115, Universitetska St., Shumen 9712, Bulgaria

In the present study our aims is to analyze and test two neural networks simulators - Joone and NeuroPh. This will be accomplished by establishing a neural network of 4 layers constituting a multilayer perceptron with sigmoid links. For the purpose of the study were selected two test data sets, which contain integers. Through sequential training the neural network with each of them and subsequently the test results will be obtained for analysis. The study seeks to show how much these two simulators are similar and how different in their characteristics, what neural networks is suitable to be made by them, what are their advantages and disadvantages, how they can be used interchangeably to give certain desired result.

Comparative analysis of simulators for neural networks Joone and NeuroPh

E Zdravkova, N Nenkov
COMPUTER MODELLING & NEW TECHNOLOGIES 2016 20(1) 16-20

Faculty of Mathematics and Informatics, University of Shumen “Episkop Konstantin Preslavsky” 115, Universitetska St., Shumen 9712, Bulgaria

This paper describes a comparative analysis of two simulator neural networks - Joone and NeuroPh. Both simulators are object-oriented and java - based. The analysis seeks to show how much these two simulators are similar and how different in their characteristics, what neural networks is suitable to be made through them, what are their advantages and disadvantages, how they can be used interchangeably to give certain desired result. For the purpose of comparative analysis of both the simulator will be realized logic function, which is not among the standard, and relatively complex and is selected as a combination of several standard logical operations.

Some issues of expert systems in healthcare and education

N Ibrayeva, A Duisenbyeva, L Atymtayeva
COMPUTER MODELLING & NEW TECHNOLOGIES 2016 20(1) 21-24

Kazakh British technical university, Tole bi Str. 59, Almaty, Kazakhstan

A very significant and essential part of the development of an expert system is the creation of its knowledge base. The knowledge base includes not only the rules and the facts that form a part of the declarative knowledge, but also functions and procedures, which are responsible for the optimization of the algorithms used in the expert system. However, there is no clear and universal idea of creating knowledge base. This thesis will describe the attempt to develop ontology of the creation of knowledge base for different expert systems.

Nature Phenomena and Innovative Engineering

Jeans instability and hydrodynamic roots of Landau damping

A Ershkovich¹, A Kiv²
COMPUTER MODELLING & NEW TECHNOLOGIES 2016 20(1) 25-26

¹Tel Aviv University, Ramat Aviv, Israel
²Ben-Gurion University, Beer-Sheva, Israel

Landau damping of Langmuir waves is shown to have hydrodynamic roots, and, in principle, might have been predicted (along with Langmuir waves) several decades earlier, soon after Jeans (1902) paper appeared.

Operation Research and Decision Making

Evaluating the strategic directions of innovative development of the shipbuilding industry in Latvia

Yu Kochetkov^{1, 2}, B Aliev¹
COMPUTER MODELLING & NEW TECHNOLOGIES 2016 20(1) 27-32

¹Baltic International Academy, Lomonosova Str. 4, LV-1019 Riga, Latvia
²Institute of Mathematical Sciences and Information Technologies, Liepaya University, Liela Str. 14, LV-3401 Liepaya, Latvia

The shipbuilding industry in Latvia – the construction, repair and maintenance of ships and boats – plays an important role in the country’s economy. In the context of globalization, there is quite tough competition for orders and sales markets among shipbuilding companies of the world at the regional and global levels. Goal of the research – the analysis of the condition of the Latvian shipbuilding industry and the evaluation of main strategic directions of its innovative development. The research has allowed identifying the most important directions of innovative development of the shipbuilding and ship repair industry. It has been found that at present the most topical directions of innovations in the shipbuilding industry are the development of workers’ skills and improvement of the marketing system. There is an urgent need for the construction of new production facilities and repair of the existing ones. These main directions of innovations meet the first priority requirements of the industry and are necessary to improve its competitiveness. Without progress in the first three main directions of innovations, the successful development of the industry in all other directions is not possible.

Comparative analysis of GIS in sight of view of renewable energy sources monitoring

A Y Jakupov
COMPUTER MODELLING & NEW TECHNOLOGIES 2016 20(1) 33-39

Institute of Information and Computational Technologies, Pushkin Str. 125, 050010 Almaty, Kazakhstan

At present there exists a great deal of GIS providing data on renewable energy on local and international level. In case of lack of field measurements the idea of using open source data along with field actinometrical measurements on the certain (or existing) sites seems to be efficient from the point of view of accuracy and costs. An overview of GIS commonly used in Russia and USA is given below. All the data used in the overview is available as project descriptions given on the web portal being discussed. All the systems have been analysed from the point of view of the data used on the portal, visualization tools and maps (wind, solar etc.).