[Research] [Curriculum Vitae] [Publications] [Forecasting technologies] [Projects] [Software] [Links] [SC-group]
Russian version RUS
Information
The project goal is to popularize ideas of applying operation methods of natural mechanisms in finding solutions to forecasting, optimization, decision making and decision support problems

Contacts
Vitaliy Snytyuk
Postal Address: Cherkasy State Technological University,
Shevchenko Avenue 460,
Cherkasy, 18006, Ukraine
E-mail: snytyuk@gmail.com
Tel: +380(472)730235 +380(50)3131342
Fax: +380(472)710089

Conference

    Computational Intelligence 2011
    (Results, Problems and Perspectives)
    CI – 2011
    First International Conference
    Cherkasy, Ukraine
    May 10-13, 2011

    Organized by:
    - Ministry of Education and Science
    - The National Academy of Sciences of Ukraine
    - V.M. Glushkov Institute of Cybernetics National Academy of Sciences of Ukraine
    - Taras Shevchenko National University of Kyiv
    - National Technical University of Ukraine "KPI"
    - Kharkiv National University of RadioElectronics
    - Cherkasy State Technological University
    - Academy of Fire Safety named after Chernobyl Heroes
    - Uzhgorod National University
    - Institute of Information Theories and Applications FOI ITHEA (Bulgaria)
    - Rzeszow University of Technology (Poland)

    Dear Colleagues,

    We have a great pleasure to invite you to participate in the 1th International Conference on Computational Intelligence held in Cherkasy, Ukraine from May 10 to May 13, 2011.

    Aims and Scope

    Conference is the first international meeting of scientists, teachers, graduate students and businessman on the basis of Cherkasy State Technological University and Academy of Fire Safety named after Chernobyl Heroes. It is devoted to discussion of results, problems and perspectives of intelligent computing and integration of information technologies in the area of intelligent computing.

    Topics of interest

    Topics of interest include but are not limited to:
    1. Philosophical aspects of intelligent computing:
    • Philosophy of intelligent computing.
    • Philosophical aspects of artificial intelligence.
    • Conceptual problems of intelligent computing.
    • State-of-the-art, problems and perspectives of intelligent computing.

    2. Theoretical aspects of intelligent computing:
    • Classification systems and pattern recognition.
    • Data mining.
    • DNA computing.
    • Evolutionary programming.
    • Expert systems.
    • Fractals.
    • Fuzzy logic inference.
    • Fuzzy logical systems.
    • Fuzzy neural nets.
    • Genetic algorithms.
    • Genetic expression programming.
    • Genetic programming.
    • Hybrid intelligent technologies.
    • Intelligent agents and multi-agent systems.
    • Intelligent immune systems.
    • Knowledge based systems.
    • Knowledge representation and knowledge management.
    • Machine learning and self-learning.
    • Metaheuristics.
    • Neural nets and growing nets.
    • Wavelets.

    3. Applied use of intelligent computing:
     • in socio-economic sphere;
    • in bioinformatics;
    • in business and finance;
    • for image processing and language signals;
    • in natural language applications;
    • in learning systems and knowledge control systems;
    • in Web systems and applications;
    • in systems of machine and computer vision;
    • in medicine;
    • in robotics;
    • in the industry;
    • in energy sector;
    • in education and research;
    • in decision making processes;
    • in computer systems and nets;
    • at forecasting and prevention of emergency situations.

    PROGRAM COMMITTEE
     Yu. Lega (Ukraine, co-chair)
    M. Kryshtal (Ukraine, co-chair)
    Yu. Zaychenko (Ukraine, co-chair)
    E. Bodyanskiy (Ukraine)
    A. Verlan (Ukraine)
    O. Voloshin (Ukraine)
    L. Hulianytskyi (Ukraine)
    V. Donchenko (Ukraine)
    E. Ivohin (Ukraine)
    Yu. Krak (Ukraine)
    N. Kussul (Ukraine)
    V. Litvinov (Ukraine)
    M. Malyar (Ukraine)
    K. Markov (Bulgaria)
    O. Riznyk (Ukraine)
    O. Rudenko (Ukraine)
    G. Setlak (Polland)
    V. Snytyuk (Ukraine)
    A. Timchenko (Ukraine)
    S. Shtovba (Ukraine)

    ORGANIZING COMMITTEE
    - Cherkasy State Technological University,
    - Academy of Fire Safety named after Chernobyl Heroes

    Ň. Ęŕchalŕ (co-chair),
    V. Snytyuk (co-chair),
    Î. Dzhulay, Ŕ. Bychenko,
    Î. Egorova, Î. Zemlyanskiy,
    G. Garkavenko.

    Languages:
    The official languages are Ukrainian, Russian and English.

    Papers
     The report may be done in one of the official languages.Prospective authors are invited to register and to submit, through the Internet (by e-mail comint2011@gmail.com), an abstract March 15, 2011. Abstracts should outline the main features, results and conclusion of the work. Submitted abstracts and full papers should be prepared according to the templates available at http://artint.com.ua/rrr.
    Papers should be up to 2 pages (for plenary reports - to 4 pages) in the format given in the sample sheet.
    The best papers personally presented by authors at the CI-2011 will be invited for free publishing in scientific journals:
    - Naukovi visti NTUU ĘPI;
    - Visnyk Taras Shevchenko National University of Kyiv;
    - Visnyk Cherkasy State Technological University

    DEADLINES:
    March 15, 2011 – registration forms and abstracts submission by e-mail comint2011@gmail.com.
    March 20, 2011 - notification of the paper acceptance, payment of registration fee.
    March 31, 2011 - submission of camera-ready copies of accepted papers by e-mail comint2011@gmail.com.

    Conference location:
    Cherkasy, Shevchenko Ave., 460,
    18006, Ukraine, www.chstu.edu.ua.

    Conference CI-2011 will be held in the regional center of Ukraine – Cherkasy. Cherkasy city lies on the high right bank of the Dnepr River, along the reservoir created by Kremenchug hydroelectric station. The city population is 285 526 inhabitants (on June, 1st, 2010). The Dnipro river and its numerous inflows – Olshanka, Tyasmin and others flow in this region, geographical objects such as the Irdynsky bog, Holodniy ditch, Maxim Zaliznyak's oak, Bogdanov’s mountain, Tarasov’s (Chernecha) mountain are situated in its territory. Names of a significant amount of settlements Cherkasy region are connected with names of outstanding people. In territory of the Cherkasy region are:
    –Shevchenko’s national reserve,
    –National reserve "Chygyryn",
    –Historical and cultural reserve «Shevchenko native land»,
    –Historical and cultural reserve "Trahtemyriv",
    –National dendrology park "Sofiyvka".
    –Participants of conference will be lodged in city hotels, in CHSTU and Academy of Fire Safety named after Chernobyl Heroes hostels.



    Conference fee:

    The regular conference fee is 250 UAH.
    For foreign participants regular conference fee is 70 EUR.
    For students and PhD students fee is 100 UAH.

    Detailed information will be sent in second information message and is available on conference web site:
    www.artint.com.ua
    Papers should be sent on e-mail:
    comint2011@gmail.com


    Contact information
    Vitaliy Snytyuk, snytyuk@gmail.com.
    Department of Information Technologies of Design.
    Faculty of Information Technologies and Systems.
    Cherkasy State Technological University.
    Cherkasy, Shevchenko Ave., 460, Ukraine,
    Tel.: +38 0472 730235.

    Collection of conference materials

    Photo

    Conference Resolution

    Short >>

Papers

  • A. Zlatkin, V. Snytyuk. «Composite method of evolutionary modelling in the design tasks». In the paper the composite method for the optimum values of the input parameters definition is offered. On the biocybernetic methods basis: neural nets and genetic algorithms the synthetic procedure of prediction of a designing system effectiveness, without a construction of analytical functions is developed. Download (PDF, 88 Kb).

  • V. Snytyuk. «Neural network techniques of indeterminacy minimization in nonlinear identification tasks». In the paper problem of entropy minimization is considered which is present at an initial information necessary for a solution of identification task. The procedure of redundancy diminution of datas based on a composition of techniques of principal components, "whitening" of inputs and artificial neural nets using is offered. The obtained solutions specify effectiveness of such procedure, at the expense of time minimization of nets learning and magnification of solutions exactitude. Download (PDF, 135 Kb).

    New!
  • V. Snytyuk. «Evolutionary clustering of complex systems and processes». In a paper the method of complex systems and processes clustering based use of genetic algorithm is offered. The aspects of its realization and shaping of fitness-function are considered. The solution of clustering task of Ukraine areas on socio-economic indexes is represented and comparative analysis with outcomes of classical methods is realized. Download (PDF, 92 Kb).

    New!
  • V. Snytyuk, O. Dghulay «Evolutionary technique of shorter route determination of fire brigade following to fire place with the optimized space of search». In this paper the technique of shorter route determination of fire engine to the fire place on time minimization criterion with the use of evolutionary modeling is offered. The algorithm of its realization on the base of complete and optimized space of search of possible decisions is explored. The aspects of goal function forming and program realization of method having a special purpose are considered. Experimental verification is executed and the results of comparative analysis with the expert conclusions are considered. Download (PDF, 166 Kb).

    New!
  • Vitaliy E. Snytyuk, Sergiy O. Govorukhin «Evolutionary technique for filling data gaps in outcome variable vales». In this paper the analysis of methods for renewal data gaps in tables of among the values of outcome variable in supposition about existence of its linear dependence from input factors is executed. For the decision of the indicated problem a technique, integrating evolutionary modeling, neural networks technologies and application of external criterion, is offered. Download (PDF, Kb).

    New!
  • Vitaliy E. Snytyuk. «Neuro-Evolutionary Techniques for Filling Data Gaps». This paper provides an analysis of models and methods of data gap filling and offers an evolutionary method based on the composition of a neural network and genetic algorithm. The technology for filling data gaps does not require to observe the limitations related to linear models, parameter distribution, etc. Download (PDF, 92 Kb).

Abstracts

  • V. Snytyuk. «Identification of goal function of a special type by neural nets technique». In thesis an effectiveness of neural networks technique using to realizing structural and parametrical identification of goal function wich takes non-numerical values is analysed. Download (PDF, 26 Kb).

  • V. Snytyuk. «Prognostizieren von Umweltverschmutzungsprozessen». Download (PDF, 21 Kb).

News

  • New paper on this page (15.12.08)
Software

  • Group method of data handling based program-algorithmic system information and demo-version here

  • Brandon method based program-algorithmic system information and demo-version here
Visitors