Now showing 1 - 10 of 58
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    E-LEARNING: DEVELOPING TOMORROW'S EDUCATION
    E-learning refers to the term to deliver education or training using digital resources. Computer-based learning, which is considered the keystone of today's E-learning concept, was born in the 80s. Earlier E-learning provides education using only text as with the development in technology it allows adding various forms, i.e., Graphical Text, Images, Video Conferencing etc. In today's time, the concept of is E-learning growing at a rapid pace. Improved bandwidth and growing technology helped in pushing the expansion of E-learning. Along with the university, large corporate companies are also resorting to E-learning. E-learning provides many advantages as compare to Instructor-led training (ILT). E-learning saves the times of travel as physical presence is not required. Education can be provided from anywhere at any time. E-learning is cost-effective also as the course, once developed, can be modified easily. There can some concern which can be faced by the trainer and leaners in future. Adopting E-learning will be a step towards saving the environment. It will be environmentally friendly as tablets will replace books; paper notes will be replaced with digital messages. Digital tools will help to reduce the burden of a student. Artificial Intelligence is a prevalent concept in computer science. A branch of AI, known as a Neural Network, is based on the human brain. The research's main aim is to review existing methods and analyse further possibilities of E-learning systems with neural networks.
  • Publication
    Scopus© Citations 6
  • Publication
    The Concept of Ontology for Numerical Data Clustering
    Classical clustering algorithms have been studied quite well, they are used for the numerical data grouping in similar structures - clusters. Similar objects are placed in the same cluster, different objects – in another cluster. All classical clustering algorithms have common characteristics, their successful choice defines the clustering results. The most important clustering parameters are following: clustering algorithms, metrics, the initial number of clusters, clustering validation criteria. In recent years there is a strong tendency of the possibility to get the rules from clusters. Semantic knowledge is not used in classical clustering algorithms. This creates difficulties in interpreting the results of clustering. Currently, the possibilities to use ontology increase rapidly, that allows to get knowledge of a specific data model. In the frames of this work the ontology concept, prototype development for numerical data clustering, which includes the most important characteristics of clustering performance have been analyzed.
    Scopus© Citations 1
  • Publication
    The Choice of Metrics for Clustering Algorithms
    Methods of data analysis and automatic processing are treated as knowledge discovery. In many cases it is necessary to classify data in some way or find regularities in the data. That is why the notion of similarity is becoming more and more important in the context of intelligent data processing systems. It is frequently required to ascertain how the data are interrelated, how various data differ or agree with each other, and what the measure of their comparison is. An important part in detection of similarity in clustering algorithms plays the accuracy in the choice of metrics and the correctness of the clustering algorithms operation.
    Scopus© Citations 25
  • Publication
    POSSIBILITIES OF SIMULATION MODELS VISUALIZATION IN TEACHING PROCESS
    Teaching experience shows that during educational process student perceive graphical information better than analytical relationships. Many educational courses operate with models that were previously available only in mathematics and physics disciplines. As a possible solution, there could be the use of package Matlab Simulink in realization of different algorithms both for engineering disciplines and economic studies. The paper presents examples of using simulation modelling in the educational research processes.
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    THE POSSIBILITIES OF CLUSTERING LEARNING METHODS IN STUDENT EDUCATION
    Many educational courses operate with models that were previously available only in mathematics or other learning disciplines. As a possible solution, there could be the use of package IBM SPSS Statistics and Modeler in realization of different algorithms for IT studies. Series of research were carried out in order to demonstrate the suitability of the IBM SPSS for the purpose of visualization of various simulation models of some data mining disciplines – particularly cluster analysis. Students are very interested in modern data mining methods, such as artificial neural networks, fuzzy logic and clustering. Clustering methods are often undeservedly forgotten, although the implementation of their algorithms is relatively simple and can be implemented even for students. In the research part of the study the modelling capabilities in data mining studies, clustering algorithms and real examples are demonstrated.
  • Publication
    EVOLUTIONARY ALORITHMS AT CHOICE: FROM GA TO GP
    Nowadays the possibilities of evolutionary algorithms are widely used in many optimization and classification tasks. Evolutionary algorithms are stochastic search methods that try to emulate Darwin’s principle of natural evolution. There are (at least) four paradigms in the world of evolutionary algorithms: evolutionary programming, evolution strategies, genetic algorithms and genetic programming. This paper analyzes present-day approaches of genetic algorithms and genetic programming and examines the possibilities of genetic programming that will be used in further research. The paper presents implementation examples that show the working principles of evolutionary algorithms.
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    VISUALIZATION CAPABILITIES OF SIMULATION OF ECONOMIC PROCESSES
    Educational experience shows that during the research process researchers perceive graphical information better than analytical relationships. Many economic courses operate with models that were previously available only in mathematics and physics disciplines. As a possible solution, there could be the use of the package Matlab Simulink in the realization of different algorithms both for engineering disciplines and economic studies. The article substantiates the usefulness of implementing the simulation models during the early stage of the research, when in parallel to acquiring analytical relations, simulation models may be introduced. The aim of the article is to show Matlab Simulink suitability for the purpose of visualizing simulation models of various economic disciplines.  To reach the aim, the following research tasks have been set: identification of Matlab Simulink possibilities for simulation of economic processes; demonstrate visualization models on the basis of examples; visualization of time series model using Latgale unemployment rate data. The article presents examples of using simulation modeling in the economic research processes - optimal tax rate searching and time series application. Common research methods are used in this research: descriptive research method, statistical method, mathematical modeling.
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    Security Aspects of Information Structures in the Information Warfare Context
    In the modern sense, the concept of information warfare includes the use and management of information and communication technologies to achieve a competitive advantage compared to the opponent. An information warfare is a manipulation with information that trusts a goal without an objective understanding, so that the goal is to take decisions against its own interests in the interests of the opponents. Information structures are considered as systems that produce and process various types of information, provide the storage of information and access to users. Such information structures may include neural networks, adaptive learning systems, etc. They must be prepared to train, respond to threats and ensure the safety of their existence, which is very topical during modern information warfare. This analytical article will cover more theoretical aspects related to the security of information systems from the system theory point of view. Knowledge base of the information structure can be a neural network, in which training should be provided from external threats.The author considers artificial neural networks as one of the potential threats in the context of information warfare.
  • Publication
    SIMULATION MODELLING POSSIBILITIES IN TEACHING ECONOMIC PROCESSES
    For the purpose of simulation models visualization of various economic disciplines, it is appropriate to use specialized programs that allow to characterize the nature of a particular model, but also make it possible to carry out a simulation model based on various parameters. This article substantiates the usefulness of introduction the simulation models at the initial research process, when simulation models can be imported parallel with analytical relations acquisition. Series of research were carried out in order to demonstrate the suitability of the Matlab Simulink for the purpose of visualization of various simulation models of various economic disciplines. Often, the analytical solution is much simpler than the visual Simulink model, but in the perspective of training purposes, it gives an understanding of the usefulness of such models. In the research part of the study the modelling capabilities in economic studies were demonstrated- adapted models in optimal tax rates computing and equilibrium determination in the competitive market.